Free cookie consent management tool by TermsFeed Policy Generator

source: branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/tmplog/Koza_3_GoOut.log @ 16618

Last change on this file since 16618 was 16618, checked in by hmaislin, 5 years ago

#2929: Added C and Go benchmark logs, fixed some MultiTest problems

File size: 59.8 KB
Line 
1Initializing Go System (12 threads)
2ExprTypes:
3---------------
4NULL:      0
5STARTLEAF: 1
6CONSTANT:  2
7TIME:      4
8SYSTEM:    5
9VAR:       6
10LASTLEAF:  7
11STARTFUNC: 8
12NEG:       9
13ABS:       10
14SQRT:      11
15SIN:       12
16COS:       13
17TAN:       14
18EXP:       15
19LOG:       16
20LASTFUNC:  17
21POWI:      18
22POWF:      19
23POWE:      20
24DIV:       21
25ADD:       22
26MUL:       23
27EXPR_MAX:  24
28STARTVAR:  25
29Parsing Main Config: config/main/main_default.cfg
30{data/ config/ runs/ prob/prob_default.cfg [pge/pge_default.cfg]}
31Init'n PGE1
32----------
33Parsing Problem Config: prob/bench/Koza_3.cfg
34Prob: &{Koza_3 [] <nil> 1000 benchmark [benchmark/Koza_3.trn] [benchmark/Koza_3.tst] [] [] 0.01 0 [0] [] [] [] 0xc0000d6000}
35TCfg: &{50 6 4 1 [Add] [Add Mul Div] [Var ConstantF] [Add Mul Div] [ADD] [ADD MUL DIV] [VAR CONSTANTF] [ADD MUL DIV] [( [a] )] [( [a] ) [m] { nil }/{ nil }] [X_0 0.0000e+00] [( [a] ) [m] { nil }/{ nil }] false {false false false 0 0 false} [0] 0 0 0 0 0 0 0 0 0 false 0}
36
37LogDir:  runs/Koza_3/pge/
38Setting up problem: Koza_3
39Reading Trainging File: benchmark/Koza_3.trn
40Var Names = [f(xs)] | [x]
41Point(%d): %v
42 0 {[-0.401577] [0.113446]}
43Point(%d): %v
44 100 {[0.359543] [0.098009]}
45Point(%d): %v
46 200 {[] []}
47Num Points: 200
48Reading Testing File: benchmark/Koza_3.tst
49Var Names = [f(xs)] | [x]
50Point(%d): %v
51 0 {[0.976468] [0.002063]}
52Point(%d): %v
53 100 {[0.016135] [0.00026]}
54Point(%d): %v
55 200 {[0.8077] [0.078833]}
56Point(%d): %v
57 300 {[0.782524] [0.092021]}
58Point(%d): %v
59 400 {[0.457273] [0.130796]}
60Point(%d): %v
61 500 {[0.635389] [0.143543]}
62Point(%d): %v
63 600 {[-0.358138] [0.09747]}
64Point(%d): %v
65 700 {[-0.162701] [0.025089]}
66Point(%d): %v
67 800 {[0.158731] [0.023942]}
68Point(%d): %v
69 900 {[0.965297] [0.004334]}
70Point(%d): %v
71 1000 {[-0.228058] [0.046741]}
72Point(%d): %v
73 1100 {[0.712282] [0.123137]}
74Point(%d): %v
75 1200 {[-0.846211] [0.057726]}
76Point(%d): %v
77 1300 {[-0.4819] [0.136892]}
78Point(%d): %v
79 1400 {[-0.016598] [0.000275]}
80Point(%d): %v
81 1500 {[0.537058] [0.146041]}
82Point(%d): %v
83 1600 {[-0.703867] [0.126132]}
84Point(%d): %v
85 1700 {[-0.726085] [0.11785]}
86Point(%d): %v
87 1800 {[-0.211116] [0.040686]}
88Point(%d): %v
89 1900 {[0.920212] [0.019877]}
90Point(%d): %v
91 2000 {[] []}
92Num Points: 2000
93
94Parsing PGE Config: config/pge/pge_default.cfg
95
96******************************************************
97
98Init'n PGE
99Roots:    [Add]
100Nodes:    [Add Mul Div]
101Leafs:    [Var ConstantF]
102NonTrig:  [Add Mul Div]
103Use Vars:  [0]
104Roots:    [( [a] )]
105Nodes:    [( [a] ) [m] { nil }/{ nil }]
106Leafs:    [X_0]
107NonTrig:  [( [a] ) [m] { nil }/{ nil }]
108generating initial expressions
109&{50 6 4 1 [Add] [Add Mul Div] [Var ConstantF] [Add Mul Div] [ADD] [ADD MUL DIV] [VAR CONSTANTF] [ADD MUL DIV] [( [a] )] [( [a] ) [m] { nil }/{ nil }] [X_0 0.0000e+00] [( [a] ) [m] { nil }/{ nil }] false {false false false 0 0 false} [0] 0 0 0 0 0 0 0 0 0 false 0}
110Initial Add:   [( C_1 ) ( C_-1*X_0 )]
1110:  ( C_1 )
1121:  ( C_-1*X_0 )
113
114******************************************************
115
116Running Main
117numSrch =  1
118Running PGE
119in: PS.step()  0
120pop/push(0,0): ( C_0 )
121Testscore 2000
122Best New Min Error:  ( C_0 )
123coeff: [0.07980850499999992]
124size:    2   depth:    2   
125uId:     0   pId:      0
126iId:     0   tId:      0
127
128train NaNs:    0
129train L1:   0.046552
130
131test  NaNs:    0
132test Evals: 2000   
133test  L1:   0.046653
134test  L2:   0.052102
135
136pop/push(1,1): ( C_0*X_0 )
137Testscore 2000
138
139
140in: PS.step()  1
141pop/push(0,2): C_0*X_0
142Testscore 2000
143pop/push(1,3): C_0*(X_0)^2
144Testscore 2000
145pop/push(2,4): ( C_0 + C_1*X_0 )
146Testscore 2000
147Gen:  0
148
149
150in: PS.step()  2
151pop/push(0,5): ( C_0 + C_1 )
152Testscore 2000
153pop/push(1,6): C_0*(X_0)^4
154Testscore 2000
155pop/push(2,7): ( C_0 + { C_1 }/{ X_0 } )
156Testscore 2000
157Gen:  1
158
159
160in: PS.step()  3
161pop/push(0,8): C_0*(X_0)^8
162Testscore 2000
163pop/push(1,9): ( C_0 + { C_1 }/{ C_2 } )
164Testscore 2000
165pop/push(2,10): C_0*(X_0)^3
166Testscore 2000
167Gen:  2
168
169
170in: PS.step()  4
171pop/push(0,11): C_0*(X_0)^6
172Testscore 2000
173pop/push(1,12): ( C_0 + C_1*(X_0)^2 )
174Testscore 2000
175pop/push(2,13): C_0*(X_0)^12
176Testscore 2000
177Gen:  3
178
179
180Gen:  4
181in: PS.step()  5
182pop/push(0,14): C_0*(X_0)^11
183Testscore 2000
184pop/push(1,15): ( C_0 + C_1*(X_0)^3 )
185Testscore 2000
186pop/push(2,16): ( C_0*C_1 + C_2*X_0 )
187Testscore 2000
188
189
190Gen:  5
191in: PS.step()  6
192pop/push(0,17): C_0*(X_0)^10
193Testscore 2000
194pop/push(1,18): ( C_0 + C_1*(X_0)^4 )
195Testscore 2000
196pop/push(2,19): C_0*(X_0)^9
197Testscore 2000
198
199
200in: PS.step()  7
201pop/push(0,20): C_0*(X_0)^7
202Testscore 2000
203pop/push(1,21): ( C_0 + C_1*(X_0)^5 )
204Testscore 2000
205pop/push(2,22): ( C_0 + C_1*X_0 + C_2*(X_0)^4 )
206Testscore 2000
207Gen:  6
208
209
210in: PS.step()  8
211pop/push(0,23): C_0*(X_0)^5
212Testscore 2000
213pop/push(1,24): ( C_0 + C_1*(X_0)^6 )
214Testscore 2000
215pop/push(2,25): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^4 )
216Testscore 2000
217Gen:  7
218
219
220in: PS.step()  9
221pop/push(0,26): ( C_0 + C_1*(X_0)^7 )
222Testscore 2000
223pop/push(1,27): ( C_0 + C_1 + C_2*(X_0)^4 )
224Testscore 2000
225pop/push(2,28): ( C_0 + C_1*X_0 + C_2*(X_0)^6 )
226Testscore 2000
227Gen:  8
228
229
230in: PS.step()  10
231pop/push(0,29): ( C_0 + C_1*(X_0)^8 )
232Testscore 2000
233pop/push(1,30): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^6 )
234Testscore 2000
235pop/push(2,31): ( C_0 + C_1*X_0 + C_2*(X_0)^2 + C_3*(X_0)^4 )
236Testscore 2000
237Gen:  9
238
239
240in: PS.step()  11
241pop/push(0,32): ( C_0 + C_1*(X_0)^9 )
242Testscore 2000
243pop/push(1,33): ( C_0 + C_1 + C_2*(X_0)^6 )
244Testscore 2000
245pop/push(2,34): ( C_0*C_1 + C_2*(X_0)^6 )
246Testscore 2000
247Gen:  10
248
249
250in: PS.step()  12
251pop/push(0,35): ( C_0 + C_1*(X_0)^10 )
252Testscore 2000
253pop/push(1,36): ( C_0 + C_1 + C_2*(X_0)^2 + C_3*(X_0)^4 )
254Testscore 2000
255pop/push(2,37): C_0*(C_1*X_0)^2
256Testscore 2000
257Gen:  11
258
259
260in: PS.step()  13
261pop/push(0,38): ( C_0 + C_1*(X_0)^11 )
262Testscore 2000
263pop/push(1,39): ( C_0*C_1 + C_2*(X_0)^4 )
264Testscore 2000
265pop/push(2,40): ( C_0 + C_1*X_0 + C_2*(X_0)^10 )
266Testscore 2000
267Gen:  12
268
269
270in: PS.step()  14
271pop/push(0,41): ( C_0 + C_1*(X_0)^12 )
272Testscore 2000
273pop/push(1,42): ( C_0 + C_1 + C_2*(X_0)^10 )
274Testscore 2000
275pop/push(2,43): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^10 )
276Testscore 2000
277Gen:  13
278
279
280in: PS.step()  15
281pop/push(0,44): C_0*(C_1*X_0)^4
282Testscore 2000
283pop/push(1,45): ( C_0 + { C_1 }/{ C_2*X_0 } )
284Testscore 2000
285pop/push(2,46): ( C_0*C_1 + C_2*(X_0)^10 )
286Testscore 2000
287Gen:  14
288
289
290in: PS.step()  16
291pop/push(0,47): C_0*(C_1*X_0)^6
292Testscore 2000
293pop/push(1,48): ( { C_0 }/{ X_0 } + C_1*C_2 )
294Testscore 2000
295pop/push(2,49): ( C_0*C_1 + C_2*(X_0)^11 )
296Testscore 2000
297Gen:  15
298
299
300in: PS.step()  17
301pop/push(0,50): C_0*(C_1*X_0)^8
302Testscore 2000
303pop/push(1,51): ( C_0*C_1 + C_2*(X_0)^2 )
304Testscore 2000
305pop/push(2,52): ( C_0 + C_1*X_0 + C_2*(X_0)^8 )
306Testscore 2000
307Gen:  16
308
309
310in: PS.step()  18
311pop/push(0,53): C_0*(C_1*X_0)^10
312Testscore 2000
313pop/push(1,54): ( C_0 + C_1 + C_2*(X_0)^8 )
314Testscore 2000
315pop/push(2,55): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^8 )
316Testscore 2000
317Gen:  17
318
319
320in: PS.step()  19
321pop/push(0,56): C_0*(C_1*X_0)^12
322Testscore 2000
323pop/push(1,57): ( C_0*C_1 + C_2*(X_0)^8 )
324Testscore 2000
325pop/push(2,58): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^10 )
326Testscore 2000
327Gen:  18
328
329
330in: PS.step()  20
331pop/push(0,59): C_0*(C_1*X_0)^11
332Testscore 2000
333pop/push(1,60): ( C_0*C_1 + C_2*(X_0)^9 )
334Testscore 2000
335pop/push(2,61): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^10 )
336Testscore 2000
337Gen:  19
338
339
340in: PS.step()  21
341pop/push(0,62): C_0*(C_1*X_0)^9
342Testscore 2000
343pop/push(1,63): ( C_0*C_1 + C_2*(X_0)^7 )
344Testscore 2000
345pop/push(2,64): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^10 )
346Testscore 2000
347Gen:  20
348
349
350in: PS.step()  22
351pop/push(0,65): C_0*(C_1*X_0)^7
352Testscore 2000
353pop/push(1,66): C_0*( X_0 + { C_1 }/{ X_0 } )
354Testscore 2000
355pop/push(2,67): ( C_0*C_1 + C_2*(X_0)^3 )
356Testscore 2000
357Gen:  21
358
359
360in: PS.step()  23
361pop/push(0,68): C_0*(C_1*X_0)^3
362Testscore 2000
363pop/push(1,69): C_0*( X_0 + { C_1 }/{ C_2 } )
364Testscore 2000
365pop/push(2,70): C_0*X_0*( X_0 + { C_1 }/{ X_0 } )
366Testscore 2000
367Gen:  22
368
369
370in: PS.step()  24
371pop/push(0,71): C_0*( C_1 + X_0 )
372Testscore 2000
373pop/push(1,72): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^8 )
374Testscore 2000
375pop/push(2,73): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^10 )
376Testscore 2000
377Gen:  23
378
379
380in: PS.step()  25
381pop/push(0,74): C_0*( C_1 + C_2 )
382Testscore 2000
383pop/push(1,75): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^8 )
384Testscore 2000
385pop/push(2,76): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^10 )
386Testscore 2000
387Gen:  24
388
389
390in: PS.step()  26
391pop/push(0,77): C_0*X_0*( C_1 + X_0 )
392Testscore 2000
393pop/push(1,78): C_0*( C_1 + C_2*X_0 )
394Testscore 2000
395pop/push(2,79): C_0*( C_1 + C_2*(X_0)^2 )
396Testscore 2000
397Gen:  25
398
399
400in: PS.step()  27
401pop/push(0,80): C_0*X_0*( C_1 + C_2 )
402Testscore 2000
403pop/push(1,81): C_0*( C_1 + C_2*X_0 )
404Testscore 2000
405pop/push(2,82): ( C_0 + C_1*X_0 + C_2*(X_0)^12 )
406Testscore 2000
407Gen:  26
408
409
410in: PS.step()  28
411pop/push(0,83): C_0*(C_1*X_0)^5
412Testscore 2000
413pop/push(1,84): ( C_0 + C_1 + C_2*(X_0)^12 )
414Testscore 2000
415pop/push(2,85): ( C_0*C_1 + C_2*(X_0)^12 )
416Testscore 2000
417Gen:  27
418
419
420in: PS.step()  29
421pop/push(0,86): C_0*( C_1 + { C_2 }/{ X_0 } )
422Testscore 2000
423pop/push(1,87): C_0*X_0*( C_1 + { C_2 }/{ X_0 } )
424Testscore 2000
425pop/push(2,88): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^12 )
426Testscore 2000
427Gen:  28
428
429
430in: PS.step()  30
431pop/push(0,89): C_0*( C_1 + { C_2 }/{ C_3 } )
432Testscore 2000
433pop/push(1,90): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^12 )
434Testscore 2000
435pop/push(2,91): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^12 )
436Testscore 2000
437Gen:  29
438
439
440in: PS.step()  31
441pop/push(0,92): C_0*( C_1 + { C_2 }/{ X_0 } )
442Testscore 2000
443pop/push(1,93): C_0*X_0*( C_1 + { C_2 }/{ X_0 } )
444Testscore 2000
445pop/push(2,94): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^6 )
446Testscore 2000
447Gen:  30
448
449
450in: PS.step()  32
451pop/push(0,95): C_0*(X_0)^2*( C_1 + X_0 )
452Testscore 2000
453pop/push(1,96): C_0*( C_1 + C_2*(X_0)^3 )
454Testscore 2000
455pop/push(2,97): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^6 )
456Testscore 2000
457Gen:  31
458
459
460in: PS.step()  33
461pop/push(0,98): C_0*(X_0)^2*( C_1 + C_2 )
462Testscore 2000
463pop/push(1,99): C_0*( C_1 + C_2*(X_0)^4 )
464Testscore 2000
465pop/push(2,100): C_0*(X_0)^2*( C_1 + C_2*(X_0)^2 )
466Testscore 2000
467Gen:  32
468
469
470in: PS.step()  34
471pop/push(0,101): C_0*(X_0)^4*( C_1 + X_0 )
472Testscore 2000
473pop/push(1,102): C_0*( C_1 + C_2*(X_0)^5 )
474Testscore 2000
475pop/push(2,103): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^4 )
476Testscore 2000
477Gen:  33
478
479
480in: PS.step()  35
481pop/push(0,104): C_0*(X_0)^4*( C_1 + C_2 )
482Testscore 2000
483pop/push(1,105): C_0*( C_1 + C_2*(X_0)^6 )
484Testscore 2000
485pop/push(2,106): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^8 )
486Testscore 2000
487Gen:  34
488
489
490in: PS.step()  36
491pop/push(0,107): C_0*(X_0)^3*( C_1 + X_0 )
492Testscore 2000
493pop/push(1,108): C_0*( C_1 + C_2*(X_0)^7 )
494Testscore 2000
495pop/push(2,109): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^4 )
496Testscore 2000
497Gen:  35
498
499
500in: PS.step()  37
501pop/push(0,110): C_0*(X_0)^6*( C_1 + X_0 )
502Testscore 2000
503pop/push(1,111): C_0*( C_1 + C_2*(X_0)^8 )
504Testscore 2000
505pop/push(2,112): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^8 )
506Testscore 2000
507Gen:  36
508
509
510in: PS.step()  38
511pop/push(0,113): C_0*(X_0)^6*( C_1 + C_2 )
512Testscore 2000
513pop/push(1,114): C_0*( C_1 + C_2*(X_0)^9 )
514Testscore 2000
515pop/push(2,115): ( C_0 + C_1*X_0 + C_2*(X_0)^11 )
516Testscore 2000
517Gen:  37
518
519
520Gen:  38
521in: PS.step()  39
522pop/push(0,116): ( C_0 + C_1 + C_2*(X_0)^11 )
523Testscore 2000
524pop/push(1,117): C_0*( C_1 + C_2*(X_0)^10 )
525Testscore 2000
526pop/push(2,118): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^10 )
527Testscore 2000
528
529
530in: PS.step()  40
531pop/push(0,119): C_0*(X_0)^5*( C_1 + X_0 )
532Testscore 2000
533pop/push(1,120): C_0*( C_1 + C_2*(X_0)^11 )
534Testscore 2000
535pop/push(2,121): ( C_0 + C_1*X_0 + C_2*(X_0)^9 )
536Testscore 2000
537Gen:  39
538
539
540in: PS.step()  41
541pop/push(0,122): ( C_0 + C_1 + C_2*(X_0)^9 )
542Testscore 2000
543pop/push(1,123): C_0*( C_1 + C_2*(X_0)^12 )
544Testscore 2000
545pop/push(2,124): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^8 )
546Testscore 2000
547Gen:  40
548
549
550in: PS.step()  42
551pop/push(0,125): C_0*(X_0)^8*( C_1 + X_0 )
552Testscore 2000
553pop/push(1,126): ( C_0*C_1 + C_2*(X_0)^5 )
554Testscore 2000
555pop/push(2,127): ( C_0 + C_1*X_0 + C_2*(X_0)^7 )
556Testscore 2000
557Gen:  41
558
559
560in: PS.step()  43
561pop/push(0,128): ( C_0 + C_1 + C_2*(X_0)^7 )
562Testscore 2000
563pop/push(1,129): C_0*X_0*( C_1 + X_0 + { C_2 }/{ X_0 } )
564Testscore 2000
565pop/push(2,130): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^8 )
566Testscore 2000
567Gen:  42
568
569
570in: PS.step()  44
571pop/push(0,131): C_0*(X_0)^8*( C_1 + C_2 )
572Testscore 2000
573pop/push(1,132): C_0*( C_1 + X_0 + { C_2 }/{ X_0 } )
574Testscore 2000
575pop/push(2,133): ( C_0 + { C_1 }/{ ( X_0 + { C_2 }/{ X_0 } ) } )
576Testscore 2000
577Gen:  43
578
579
580in: PS.step()  45
581pop/push(0,134): C_0*(X_0)^7*( C_1 + X_0 )
582Testscore 2000
583pop/push(1,135): C_0*( C_1 + X_0 + { C_2 }/{ C_3 } )
584Testscore 2000
585pop/push(2,136): ( C_0 + { C_1 }/{ ( C_2 + { C_3 }/{ X_0 } ) } )
586Testscore 2000
587Gen:  44
588
589
590in: PS.step()  46
591pop/push(0,137): C_0*( X_0 + C_1*C_2 )
592Testscore 2000
593pop/push(1,138): ( C_0 + { C_1 }/{ ( C_2 + { C_3 }/{ X_0 } ) } )
594Testscore 2000
595pop/push(2,139): ( C_0 + C_1*(X_0)^7 + C_2*(X_0)^8 )
596Testscore 2000
597Gen:  45
598
599
600in: PS.step()  47
601pop/push(0,140): C_0*(X_0)^10*( C_1 + X_0 )
602Testscore 2000
603pop/push(1,141): C_0*( C_1 + C_2 + { C_3 }/{ X_0 } )
604Testscore 2000
605pop/push(2,142): C_0*( C_1*C_2 + C_3*X_0 )
606Testscore 2000
607Gen:  46
608
609
610in: PS.step()  48
611pop/push(0,143): C_0*(X_0)^10*( C_1 + C_2 )
612Testscore 2000
613pop/push(1,144): ( C_0 + { C_1 }/{ X_0 } + C_2*X_0 )
614Testscore 2000
615pop/push(2,145): C_0*( { C_1 }/{ C_2 } + C_3*C_4 )
616Testscore 2000
617Gen:  47
618
619
620in: PS.step()  49
621pop/push(0,146): ( C_0 + C_1 + { C_2 }/{ X_0 } )
622Testscore 2000
623pop/push(1,147): ( C_0 + { C_1 }/{ C_2 } + C_3*X_0 )
624Testscore 2000
625pop/push(2,148): C_0*( C_1*C_2 + C_3*X_0 )
626Testscore 2000
627Gen:  48
628
629
630in: PS.step()  50
631pop/push(0,149): ( { C_0 }/{ C_1 } + C_2*C_3 )
632Testscore 2000
633pop/push(1,150): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^10 )
634Testscore 2000
635pop/push(2,151): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^10 )
636Testscore 2000
637Gen:  49
638
639
640in: PS.step()  51
641pop/push(0,152): C_0*(X_0)^9*( C_1 + X_0 )
642Testscore 2000
643pop/push(1,153): C_0*X_0*( C_1 + C_2*X_0 )
644Testscore 2000
645pop/push(2,154): C_0*( C_1 + C_2 + C_3*(X_0)^10 )
646Testscore 2000
647Gen:  50
648
649
650in: PS.step()  52
651pop/push(0,155): C_0*(X_0)^12*( C_1 + X_0 )
652Testscore 2000
653pop/push(1,156): C_0*X_0*( X_0 + { C_1 }/{ C_2 } )
654Testscore 2000
655pop/push(2,157): C_0*X_0*( C_1 + C_2 + { C_3 }/{ X_0 } )
656Testscore 2000
657Gen:  51
658
659
660in: PS.step()  53
661pop/push(0,158): C_0*(X_0)^12*( C_1 + C_2 )
662Testscore 2000
663pop/push(1,159): C_0*X_0*( C_1 + C_2*X_0 )
664Testscore 2000
665pop/push(2,160): ( C_0*X_0 + C_1*( C_2 + X_0 ) )
666Testscore 2000
667Gen:  52
668
669
670in: PS.step()  54
671pop/push(0,161): ( C_0 + C_1*( C_2 + X_0 ) )
672Testscore 2000
673pop/push(1,162): ( C_0 + C_1*(X_0)^7 + C_2*(X_0)^10 )
674Testscore 2000
675pop/push(2,163): ( C_0*C_1 + C_2*(X_0)^2 + C_3*(X_0)^4 )
676Testscore 2000
677Gen:  53
678
679
680in: PS.step()  55
681pop/push(0,164): ( C_0 + C_1*( C_2 + C_3 ) )
682Testscore 2000
683pop/push(1,165): C_0*( C_1*C_2 + C_3*(X_0)^10 )
684Testscore 2000
685pop/push(2,166): ( C_0*X_0 + C_1*(X_0)^2 + C_2*(X_0)^4 )
686Testscore 2000
687Gen:  54
688
689
690in: PS.step()  56
691pop/push(0,167): ( C_0 + C_1*( C_2 + X_0 ) )
692Testscore 2000
693pop/push(1,168): ( C_0*(X_0)^2 + C_1*(X_0)^4 )
694Testscore 2000
695pop/push(2,169): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^4 )
696Testscore 2000
697Gen:  55
698
699
700in: PS.step()  57
701pop/push(0,170): C_0*(X_0)^11*( C_1 + X_0 )
702Testscore 2000
703pop/push(1,171): ( C_0 + C_1*X_0*( C_2 + X_0 ) )
704Testscore 2000
705pop/push(2,172): ( C_0 + C_1*( C_2 + C_3*X_0 ) )
706Testscore 2000
707Gen:  56
708
709
710in: PS.step()  58
711pop/push(0,173): C_0*(X_0)^11*( C_1 + C_2 )
712Testscore 2000
713pop/push(1,174): ( C_0 + C_1*X_0*( C_2 + C_3 ) )
714Testscore 2000
715pop/push(2,175): ( C_0 + C_1*( C_2 + C_3*X_0 ) )
716Testscore 2000
717Gen:  57
718
719
720in: PS.step()  59
721pop/push(0,176): C_0*(X_0)^9*( C_1 + C_2 )
722Testscore 2000
723pop/push(1,177): ( C_0*X_0 + C_1*(X_0)^2 )
724Testscore 2000
725pop/push(2,178): ( C_0*X_0 + C_1*( C_2 + C_3 ) )
726Testscore 2000
727Gen:  58
728
729
730in: PS.step()  60
731pop/push(0,179): ( C_0 + C_1*(X_0)^2 )
732Testscore 2000
733pop/push(1,180): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^12 )
734Testscore 2000
735pop/push(2,181): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^8 )
736Testscore 2000
737Gen:  59
738
739
740in: PS.step()  61
741pop/push(0,182): C_0*(X_0)^7*( C_1 + C_2 )
742Testscore 2000
743pop/push(1,183): ( C_0*X_0 + C_1*(X_0)^4 )
744Testscore 2000
745pop/push(2,184): C_0*( C_1 + C_2 + C_3*(X_0)^8 )
746Testscore 2000
747Gen:  60
748
749
750in: PS.step()  62
751pop/push(0,185): ( C_0 + C_1*(X_0)^4 )
752Testscore 2000
753pop/push(1,186): C_0*( C_1*C_2 + C_3*(X_0)^8 )
754Testscore 2000
755pop/push(2,187): C_0*(C_1*X_0)^2*( C_2 + C_3*(X_0)^2 )
756Testscore 2000
757Gen:  61
758
759
760in: PS.step()  63
761pop/push(0,188): C_0*(X_0)^3*( C_1 + C_2 )
762Testscore 2000
763pop/push(1,189): ( C_0*X_0 + C_1*(X_0)^6 )
764Testscore 2000
765pop/push(2,190): ( C_0 + C_1*X_0 + C_2*(X_0)^5 )
766Testscore 2000
767Gen:  62
768
769
770in: PS.step()  64
771pop/push(0,191): ( C_0 + C_1*(X_0)^6 )
772Testscore 2000
773pop/push(1,192): ( C_0*(X_0)^2 + C_1*(X_0)^6 )
774Testscore 2000
775pop/push(2,193): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^2 + C_3*(X_0)^4 )
776Testscore 2000
777Gen:  63
778
779
780in: PS.step()  65
781pop/push(0,194): ( C_0 + C_1 + C_2*(X_0)^5 )
782Testscore 2000
783pop/push(1,195): ( C_0 + C_1*X_0 + C_2*(X_0)^2 )
784Testscore 2000
785pop/push(2,196): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^12 )
786Testscore 2000
787Gen:  64
788
789
790in: PS.step()  66
791pop/push(0,197): ( C_0 + C_1 + C_2*(X_0)^2 )
792Testscore 2000
793pop/push(1,198): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^12 )
794Testscore 2000
795pop/push(2,199): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^8 )
796Testscore 2000
797Gen:  65
798
799
800in: PS.step()  67
801pop/push(0,200): C_0*(X_0)^5*( C_1 + C_2 )
802Testscore 2000
803pop/push(1,201): ( C_0*X_0 + C_1*(X_0)^8 )
804Testscore 2000
805pop/push(2,202): ( C_0 + C_1*X_0 + C_2*(X_0)^3 )
806Testscore 2000
807Gen:  66
808
809
810in: PS.step()  68
811pop/push(0,203): ( C_0 + C_1*(X_0)^8 )
812Testscore 2000
813pop/push(1,204): ( C_0*(X_0)^2 + C_1*(X_0)^8 )
814Testscore 2000
815pop/push(2,205): ( C_0*X_0 + C_1*(X_0)^2 + C_2*(X_0)^6 )
816Testscore 2000
817Gen:  67
818
819
820in: PS.step()  69
821pop/push(0,206): ( C_0 + C_1 + C_2*(X_0)^3 )
822Testscore 2000
823pop/push(1,207): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^6 )
824Testscore 2000
825pop/push(2,208): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^2 + C_4*(X_0)^4 )
826Testscore 2000
827Gen:  68
828
829
830in: PS.step()  70
831pop/push(0,209): ( C_0*X_0 + C_1*(X_0)^10 )
832Testscore 2000
833pop/push(1,210): ( C_0 + C_1*(X_0)^2*( C_2 + X_0 ) )
834Testscore 2000
835pop/push(2,211): ( C_0 + C_1*(X_0)^8 + C_2*(X_0)^10 )
836Testscore 2000
837Gen:  69
838
839
840in: PS.step()  71
841pop/push(0,212): ( C_0 + C_1*(X_0)^10 )
842Testscore 2000
843pop/push(1,213): ( C_0 + C_1*(X_0)^9 + C_2*(X_0)^10 )
844Testscore 2000
845pop/push(2,214): C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^8 )
846Testscore 2000
847Gen:  70
848
849
850in: PS.step()  72
851pop/push(0,215): ( C_0*X_0 + C_1*(X_0)^12 )
852Testscore 2000
853pop/push(1,216): ( C_0*(X_0)^2 + C_1*(X_0)^10 )
854Testscore 2000
855pop/push(2,217): ( C_0 + C_1*(X_0)^8 + C_2*(X_0)^11 )
856Testscore 2000
857Gen:  71
858
859
860in: PS.step()  73
861pop/push(0,218): ( C_0 + C_1*(X_0)^12 )
862Testscore 2000
863pop/push(1,219): ( C_0 + C_1*(X_0)^8 + C_2*(X_0)^9 )
864Testscore 2000
865pop/push(2,220): C_0*X_0*( X_0 + { C_1 }/{ ( X_0 + { C_2 }/{ X_0 } ) } )
866Testscore 2000
867Gen:  72
868
869
870in: PS.step()  74
871pop/push(0,221): ( C_0*X_0 + C_1*(X_0)^11 )
872Testscore 2000
873pop/push(1,222): ( C_0*(X_0)^2 + C_1*(X_0)^12 )
874Testscore 2000
875pop/push(2,223): ( C_0 + C_1*(X_0)^8 + C_2*(X_0)^12 )
876Testscore 2000
877Gen:  73
878
879
880in: PS.step()  75
881pop/push(0,224): ( C_0 + C_1*(X_0)^11 )
882Testscore 2000
883pop/push(1,225): ( C_0 + C_1*(X_0)^3*( C_2 + X_0 ) )
884Testscore 2000
885pop/push(2,226): ( C_0 + C_1*(X_0)^9 + C_2*(X_0)^12 )
886Testscore 2000
887Gen:  74
888
889
890in: PS.step()  76
891pop/push(0,227): ( C_0*X_0 + C_1*(X_0)^9 )
892Testscore 2000
893pop/push(1,228): ( C_0 + C_1*(X_0)^4*( C_2 + X_0 ) )
894Testscore 2000
895pop/push(2,229): ( C_0 + C_1*(X_0)^10 + C_2*(X_0)^12 )
896Testscore 2000
897Gen:  75
898
899
900in: PS.step()  77
901pop/push(0,230): ( C_0 + C_1*(X_0)^9 )
902Testscore 2000
903pop/push(1,231): ( C_0 + C_1*(X_0)^5*( C_2 + X_0 ) )
904Testscore 2000
905pop/push(2,232): ( C_0 + C_1*(X_0)^10 + C_2*(X_0)^11 )
906Testscore 2000
907Gen:  76
908
909
910Gen:  77
911in: PS.step()  78
912pop/push(0,233): ( C_0*X_0 + C_1*(X_0)^7 )
913Testscore 2000
914pop/push(1,234): ( C_0 + C_1*(X_0)^6*( C_2 + X_0 ) )
915Testscore 2000
916pop/push(2,235): ( C_0 + C_1*(X_0)^11 + C_2*(X_0)^12 )
917Testscore 2000
918
919
920in: PS.step()  79
921pop/push(0,236): ( C_0 + C_1*(X_0)^7 )
922Testscore 2000
923pop/push(1,237): ( C_0 + C_1*(X_0)^7*( C_2 + X_0 ) )
924Testscore 2000
925pop/push(2,238): ( C_0 + C_1*(X_0)^3*( C_2 + X_0 + { C_3 }/{ X_0 } ) )
926Testscore 2000
927Gen:  78
928
929
930in: PS.step()  80
931pop/push(0,239): ( C_0*X_0 + C_1*(X_0)^5 )
932Testscore 2000
933pop/push(1,240): ( C_0 + C_1*(X_0)^8*( C_2 + X_0 ) )
934Testscore 2000
935pop/push(2,241): ( C_0 + C_1*(X_0)^7*( C_2 + C_3*X_0 ) )
936Testscore 2000
937Gen:  79
938
939
940in: PS.step()  81
941pop/push(0,242): ( C_0 + C_1*(X_0)^5 )
942Testscore 2000
943pop/push(1,243): ( C_0 + C_1*(X_0)^9*( C_2 + X_0 ) )
944Testscore 2000
945pop/push(2,244): C_0*X_0*( C_1 + { C_2 }/{ ( X_0 + { C_3 }/{ X_0 } ) } )
946Testscore 2000
947Gen:  80
948
949
950in: PS.step()  82
951pop/push(0,245): ( C_0*X_0 + C_1*(X_0)^3 )
952Testscore 2000
953pop/push(1,246): ( C_0 + C_1*(X_0)^10*( C_2 + X_0 ) )
954Testscore 2000
955Gen:  81
956pop/push(2,247): ( C_0 + C_1*(X_0)^9*( C_2 + C_3*X_0 ) )
957Testscore 2000
958
959
960in: PS.step()  83
961pop/push(0,248): ( C_0 + C_1*(X_0)^3 )
962Testscore 2000
963pop/push(1,249): ( C_0 + C_1*(X_0)^10*( C_2 + C_3 ) )
964Testscore 2000
965pop/push(2,250): ( C_0 + C_1*(X_0)^10*( C_2 + C_3*X_0 ) )
966Testscore 2000
967Gen:  82
968
969
970in: PS.step()  84
971pop/push(0,251): C_0*X_0*( C_1 + { C_2 }/{ C_3 } )
972Testscore 2000
973pop/push(1,252): ( C_0 + C_1*(X_0)^8*( C_2 + C_3 ) )
974Testscore 2000
975pop/push(2,253): ( C_0 + C_1*(X_0)^10*( C_2 + C_3*X_0 ) )
976Testscore 2000
977Gen:  83
978
979
980in: PS.step()  85
981pop/push(0,254): ( C_0 + C_1*(X_0)^11*( C_2 + X_0 ) )
982Testscore 2000
983pop/push(1,255): ( C_0 + C_1*(X_0)^9*( C_2 + C_3*X_0 ) )
984Testscore 2000
985pop/push(2,256): C_0*X_0*( C_1 + { C_2 }/{ ( X_0 + { C_3 }/{ X_0 } ) } )
986Testscore 2000
987Gen:  84
988
989
990in: PS.step()  86
991pop/push(0,257): ( C_0 + C_1*(X_0)^12*( C_2 + X_0 ) )
992Testscore 2000
993pop/push(1,258): ( C_0 + C_1*(X_0)^7 + C_2*(X_0)^12 )
994Testscore 2000
995pop/push(2,259): ( C_0 + C_1*(X_0)^8*( C_2 + C_3*X_0 ) )
996Testscore 2000
997Gen:  85
998
999
1000in: PS.step()  87
1001pop/push(0,260): ( C_0 + C_1*(X_0)^12*( C_2 + C_3 ) )
1002Testscore 2000
1003pop/push(1,261): ( C_0 + C_1*(X_0)^8*( C_2 + C_3*X_0 ) )
1004Testscore 2000
1005pop/push(2,262): C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^10 )
1006Testscore 2000
1007Gen:  86
1008
1009
1010in: PS.step()  88
1011pop/push(0,263): ( C_0 + C_1*(X_0)^6*( C_2 + C_3 ) )
1012Testscore 2000
1013pop/push(1,264): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^12 )
1014Testscore 2000
1015pop/push(2,265): ( C_0 + C_1*(X_0)^7*( C_2 + C_3*X_0 ) )
1016Testscore 2000
1017Gen:  87
1018
1019
1020in: PS.step()  89
1021pop/push(0,266): ( C_0 + C_1*(X_0)^4*( C_2 + C_3 ) )
1022Testscore 2000
1023pop/push(1,267): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^6 )
1024Testscore 2000
1025pop/push(2,268): C_0*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^10 )
1026Testscore 2000
1027Gen:  88
1028
1029
1030in: PS.step()  90
1031pop/push(0,269): ( C_0 + C_1*(X_0)^11*( C_2 + C_3 ) )
1032Testscore 2000
1033pop/push(1,270): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^6 )
1034Testscore 2000
1035pop/push(2,271): ( C_0 + C_1*(X_0)^5*( C_2 + X_0 + { C_3 }/{ X_0 } ) )
1036Testscore 2000
1037Gen:  89
1038
1039
1040in: PS.step()  91
1041pop/push(0,272): ( C_0 + C_1*(X_0)^2*( C_2 + C_3 ) )
1042Testscore 2000
1043pop/push(1,273): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^6 )
1044Testscore 2000
1045pop/push(2,274): C_0*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^10 )
1046Testscore 2000
1047Gen:  90
1048
1049
1050in: PS.step()  92
1051pop/push(0,275): ( C_0 + C_1*(X_0)^9*( C_2 + C_3 ) )
1052Testscore 2000
1053pop/push(1,276): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^7 )
1054Testscore 2000
1055pop/push(2,277): ( C_0 + { C_1 }/{ C_2*X_0 } + C_3*(X_0)^10 )
1056Testscore 2000
1057Gen:  91
1058
1059
1060in: PS.step()  93
1061pop/push(0,278): ( C_0 + C_1*(X_0)^7*( C_2 + C_3 ) )
1062Testscore 2000
1063pop/push(1,279): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^9 )
1064Testscore 2000
1065pop/push(2,280): ( { C_0 }/{ X_0 } + C_1*C_2 + C_3*(X_0)^10 )
1066Testscore 2000
1067Gen:  92
1068
1069
1070in: PS.step()  94
1071pop/push(0,281): ( C_0 + C_1*(X_0)^3*( C_2 + C_3 ) )
1072Testscore 2000
1073pop/push(1,282): ( C_0 + C_1*(X_0)^6 + C_2*(X_0)^11 )
1074Testscore 2000
1075pop/push(2,283): ( C_0 + C_1*(X_0)^12*( C_2 + C_3*X_0 ) )
1076Testscore 2000
1077Gen:  93
1078
1079
1080in: PS.step()  95
1081pop/push(0,284): ( C_0 + C_1*(X_0)^5*( C_2 + C_3 ) )
1082Testscore 2000
1083pop/push(1,285): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^4 )
1084Testscore 2000
1085pop/push(2,286): ( C_0 + C_1*(X_0)^12*( C_2 + C_3*X_0 ) )
1086Testscore 2000
1087Gen:  94
1088
1089
1090in: PS.step()  96
1091pop/push(0,287): ( { C_0 }/{ X_0 } + C_1*( C_2 + X_0 ) )
1092Testscore 2000
1093pop/push(1,288): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^5 )
1094Testscore 2000
1095pop/push(2,289): ( C_0 + C_1*(X_0)^11*( C_2 + C_3*X_0 ) )
1096Testscore 2000
1097Gen:  95
1098
1099
1100in: PS.step()  97
1101pop/push(0,290): ( { C_0 }/{ C_1 } + C_2*( C_3 + X_0 ) )
1102Testscore 2000
1103pop/push(1,291): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^7 )
1104Testscore 2000
1105pop/push(2,292): ( C_0 + C_1*(X_0)^11*( C_2 + C_3*X_0 ) )
1106Testscore 2000
1107Gen:  96
1108
1109
1110in: PS.step()  98
1111pop/push(0,293): C_0*( { C_1 }/{ X_0 } + C_2*C_3 )
1112Testscore 2000
1113pop/push(1,294): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^9 )
1114Testscore 2000
1115pop/push(2,295): C_0*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^8 )
1116Testscore 2000
1117Gen:  97
1118
1119
1120in: PS.step()  99
1121pop/push(0,296): ( C_0 + { C_1*( C_2 + X_0 ) }/{ X_0 } )
1122Testscore 2000
1123pop/push(1,297): ( C_0 + C_1*(X_0)^4 + C_2*(X_0)^11 )
1124Testscore 2000
1125pop/push(2,298): C_0*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^8 )
1126Testscore 2000
1127Gen:  98
1128
1129
1130in: PS.step()  100
1131pop/push(0,299): ( { C_0 }/{ X_0 } + C_1*( C_2 + C_3 ) )
1132Testscore 2000
1133pop/push(1,300): C_0*X_0*( X_0 + C_1*{ C_2 }/{ X_0 } )
1134Testscore 2000
1135pop/push(2,301): ( C_0 + { C_1 }/{ C_2*X_0 } + C_3*(X_0)^8 )
1136Testscore 2000
1137Gen:  99
1138
1139
1140in: PS.step()  101
1141pop/push(0,302): C_0*X_0*( C_1 + X_0 )
1142Testscore 2000
1143pop/push(1,303): ( { C_0 }/{ C_1*X_0 } + C_2*C_3 )
1144Testscore 2000
1145pop/push(2,304): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^7 )
1146Testscore 2000
1147Gen:  100
1148
1149
1150in: PS.step()  102
1151pop/push(0,305): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^11 )
1152Testscore 2000
1153pop/push(1,306): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^9 )
1154Testscore 2000
1155pop/push(2,307): ( { C_0 }/{ X_0 } + C_1*C_2 + C_3*(X_0)^8 )
1156Testscore 2000
1157Gen:  101
1158
1159
1160in: PS.step()  103
1161pop/push(0,308): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^11 )
1162Testscore 2000
1163pop/push(1,309): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^5 )
1164Testscore 2000
1165pop/push(2,310): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^12 )
1166Testscore 2000
1167Gen:  102
1168
1169
1170in: PS.step()  104
1171pop/push(0,311): C_0*( C_1 + C_2 + C_3*(X_0)^12 )
1172Testscore 2000
1173pop/push(1,312): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^12 )
1174Testscore 2000
1175pop/push(2,313): C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^12 )
1176Testscore 2000
1177Gen:  103
1178
1179
1180in: PS.step()  105
1181pop/push(0,314): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^9 )
1182Testscore 2000
1183pop/push(1,315): C_0*( C_1*C_2 + C_3*(X_0)^12 )
1184Testscore 2000
1185pop/push(2,316): ( C_0*X_0 + C_1*(X_0)^2 + C_2*(X_0)^8 )
1186Testscore 2000
1187Gen:  104
1188
1189
1190in: PS.step()  106
1191pop/push(0,317): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^9 )
1192Testscore 2000
1193pop/push(1,318): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^8 )
1194Testscore 2000
1195pop/push(2,319): C_0*(X_0)^2*( C_1 + C_2*X_0 + C_3*(X_0)^2 )
1196Testscore 2000
1197Gen:  105
1198
1199
1200in: PS.step()  107
1201pop/push(0,320): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^2 )
1202Testscore 2000
1203pop/push(1,321): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^11 )
1204Testscore 2000
1205pop/push(2,322): C_0*(X_0)^2*( C_1 + C_2 + C_3*(X_0)^2 )
1206Testscore 2000
1207Gen:  106
1208
1209
1210in: PS.step()  108
1211pop/push(0,323): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^2 )
1212Testscore 2000
1213pop/push(1,324): ( C_0 + C_1*(X_0)^3 + C_2*(X_0)^11 )
1214Testscore 2000
1215pop/push(2,325): C_0*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^12 )
1216Testscore 2000
1217Gen:  107
1218
1219
1220in: PS.step()  109
1221pop/push(0,326): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^7 )
1222Testscore 2000
1223pop/push(1,327): C_0*( C_1*C_2 + C_3*(X_0)^11 )
1224Testscore 2000
1225pop/push(2,328): C_0*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^12 )
1226Testscore 2000
1227Gen:  108
1228
1229
1230in: PS.step()  110
1231pop/push(0,329): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^7 )
1232Testscore 2000
1233pop/push(1,330): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^7 )
1234Testscore 2000
1235pop/push(2,331): ( C_0 + { C_1 }/{ C_2*X_0 } + C_3*(X_0)^12 )
1236Testscore 2000
1237Gen:  109
1238
1239
1240in: PS.step()  111
1241pop/push(0,332): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^3 )
1242Testscore 2000
1243pop/push(1,333): ( C_0*(X_0)^2 + C_1*( C_2 + X_0 ) )
1244Testscore 2000
1245pop/push(2,334): ( { C_0 }/{ X_0 } + C_1*C_2 + C_3*(X_0)^12 )
1246Testscore 2000
1247Gen:  110
1248
1249
1250in: PS.step()  112
1251pop/push(0,335): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^3 )
1252Testscore 2000
1253pop/push(1,336): C_0*X_0*( { C_1 }/{ X_0 } + C_2*X_0 )
1254Testscore 2000
1255pop/push(2,337): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^6 )
1256Testscore 2000
1257Gen:  111
1258
1259
1260in: PS.step()  113
1261pop/push(0,338): C_0*( C_1 + C_2 + C_3*(X_0)^6 )
1262Testscore 2000
1263pop/push(1,339): C_0*(X_0)^2*( C_1*C_2 + C_3*(X_0)^2 )
1264Testscore 2000
1265pop/push(2,340): C_0*(X_0)^2*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^2 )
1266Testscore 2000
1267Gen:  112
1268
1269
1270in: PS.step()  114
1271pop/push(0,341): ( C_0 + { C_1 }/{ X_0 } + C_2*(X_0)^5 )
1272Testscore 2000
1273pop/push(1,342): C_0*( C_1*C_2 + C_3*(X_0)^6 )
1274Testscore 2000
1275pop/push(2,343): C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^6 )
1276Testscore 2000
1277Gen:  113
1278
1279
1280in: PS.step()  115
1281pop/push(0,344): ( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^5 )
1282Testscore 2000
1283pop/push(1,345): C_0*X_0*( { C_1 }/{ X_0 } + C_2*X_0 )
1284Testscore 2000
1285pop/push(2,346): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^6 )
1286Testscore 2000
1287Gen:  114
1288
1289
1290in: PS.step()  116
1291pop/push(0,347): ( C_0*(X_0)^2 + C_1*(X_0)^11 )
1292Testscore 2000
1293pop/push(1,348): ( C_0 + C_1*( C_2 + C_3*(X_0)^2 ) )
1294Testscore 2000
1295pop/push(2,349): ( C_0 + C_1*(X_0)^5*( C_2 + C_3*X_0 ) )
1296Testscore 2000
1297Gen:  115
1298
1299
1300in: PS.step()  117
1301pop/push(0,350): ( C_0*(X_0)^2 + C_1*(X_0)^9 )
1302Testscore 2000
1303pop/push(1,351): C_0*( C_1*C_2 + C_3*(X_0)^2 )
1304Testscore 2000
1305pop/push(2,352): ( C_0 + C_1*(X_0)^5*( C_2 + C_3*X_0 ) )
1306Testscore 2000
1307Gen:  116
1308
1309
1310in: PS.step()  118
1311pop/push(0,353): C_0*(C_1*X_0)^2*( C_2 + X_0 )
1312Testscore 2000
1313pop/push(1,354): ( C_0*(X_0)^2 + C_1*( C_2 + C_3 ) )
1314Testscore 2000
1315pop/push(2,355): ( C_0 + C_1*(X_0)^6*( C_2 + C_3*X_0 ) )
1316Testscore 2000
1317Gen:  117
1318
1319
1320in: PS.step()  119
1321pop/push(0,356): C_0*X_0*( C_1 + X_0 + { C_2 }/{ C_3 } )
1322Testscore 2000
1323pop/push(1,357): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^9 )
1324Testscore 2000
1325pop/push(2,358): ( C_0 + C_1*(X_0)^6*( C_2 + C_3*X_0 ) )
1326Testscore 2000
1327Gen:  118
1328
1329
1330in: PS.step()  120
1331pop/push(0,359): C_0*(X_0)^2*( C_1 + { C_2 }/{ X_0 } )
1332Testscore 2000
1333pop/push(1,360): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^9 )
1334Testscore 2000
1335pop/push(2,361): ( C_0 + { C_1 }/{ C_2*X_0 } + C_3*(X_0)^6 )
1336Testscore 2000
1337Gen:  119
1338
1339
1340in: PS.step()  121
1341pop/push(0,362): C_0*(X_0)^2*( C_1 + { C_2 }/{ C_3 } )
1342Testscore 2000
1343pop/push(1,363): C_0*( C_1*C_2 + C_3*(X_0)^9 )
1344Testscore 2000
1345pop/push(2,364): ( { C_0 }/{ X_0 } + C_1*C_2 + C_3*(X_0)^6 )
1346Testscore 2000
1347Gen:  120
1348
1349
1350Gen:  121
1351in: PS.step()  122
1352pop/push(0,365): ( C_0*(X_0)^2 + C_1*(X_0)^7 )
1353Testscore 2000
1354pop/push(1,366): ( C_0 + C_1*(X_0)^5 + C_2*(X_0)^11 )
1355Testscore 2000
1356pop/push(2,367): C_0*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^6 )
1357Testscore 2000
1358
1359
1360in: PS.step()  123
1361pop/push(0,368): ( C_0*(X_0)^2 + C_1*(X_0)^5 )
1362Testscore 2000
1363pop/push(1,369): C_0*X_0*( { C_1 }/{ X_0 } + C_2*C_3 )
1364Testscore 2000
1365pop/push(2,370): C_0*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^6 )
1366Testscore 2000
1367Gen:  122
1368
1369
1370in: PS.step()  124
1371pop/push(0,371): ( C_0*(X_0)^2 + C_1*(X_0)^3 )
1372Testscore 2000
1373pop/push(1,372): ( C_0 + C_1*X_0 + C_2*( C_3 + X_0 ) )
1374Testscore 2000
1375pop/push(2,373): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^4 )
1376Testscore 2000
1377Gen:  123
1378
1379
1380Gen:  124
1381in: PS.step()  125
1382pop/push(0,374): ( C_0 + C_1 + C_2*( C_3 + X_0 ) )
1383Testscore 2000
1384pop/push(1,375): ( C_0*C_1 + C_2*( C_3 + X_0 ) )
1385Testscore 2000
1386pop/push(2,376): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^4 )
1387Testscore 2000
1388
1389
1390in: PS.step()  126
1391pop/push(0,377): C_0*( C_1 + C_2 + C_3*(X_0)^4 )
1392Testscore 2000
1393pop/push(1,378): C_0*( C_1*C_2 + C_3*(X_0)^4 )
1394Testscore 2000
1395pop/push(2,379): C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^4 )
1396Testscore 2000
1397Gen:  125
1398
1399
1400in: PS.step()  127
1401pop/push(0,380): ( C_0*C_1 + C_2*( C_3 + C_4 ) )
1402Testscore 2000
1403pop/push(1,381): ( C_0 + C_1*(X_0)^3*( C_2 + C_3*X_0 ) )
1404Testscore 2000
1405pop/push(2,382): ( C_0 + { C_1 }/{ ( C_2 + { C_3 }/{ X_0 } + C_4*X_0 ) } )
1406Testscore 2000
1407Gen:  126
1408
1409
1410in: PS.step()  128
1411pop/push(0,383): C_0*(X_0)^3*( C_1 + { C_2 }/{ X_0 } )
1412Testscore 2000
1413pop/push(1,384): ( C_0 + { C_1 }/{ ( C_2 + C_3 + { C_4 }/{ X_0 } ) } )
1414Testscore 2000
1415pop/push(2,385): ( C_0 + C_1*(X_0)^3*( C_2 + C_3*X_0 ) )
1416Testscore 2000
1417Gen:  127
1418
1419
1420in: PS.step()  129
1421pop/push(0,386): C_0*(X_0)^2*( C_1 + C_2*X_0 )
1422Testscore 2000
1423pop/push(1,387): ( C_0 + C_1*X_0 + C_2*( C_3 + C_4 ) )
1424Testscore 2000
1425pop/push(2,388): ( C_0 + C_1*(X_0)^4*( C_2 + C_3*X_0 ) )
1426Testscore 2000
1427Gen:  128
1428
1429
1430in: PS.step()  130
1431pop/push(0,389): C_0*(X_0)^2*( C_1 + C_2*X_0 )
1432Testscore 2000
1433pop/push(1,390): ( C_0 + C_1*(X_0)^7 + C_2*(X_0)^9 )
1434Testscore 2000
1435pop/push(2,391): ( C_0 + C_1*(X_0)^4*( C_2 + C_3*X_0 ) )
1436Testscore 2000
1437Gen:  129
1438
1439
1440in: PS.step()  131
1441pop/push(0,392): C_0*(C_1*X_0)^4*( C_2 + X_0 )
1442Testscore 2000
1443pop/push(1,393): C_0*( C_1*C_2 + C_3*(X_0)^7 )
1444Testscore 2000
1445pop/push(2,394): ( { C_0 }/{ X_0 } + C_1*C_2 + C_3*(X_0)^4 )
1446Testscore 2000
1447Gen:  130
1448
1449
1450in: PS.step()  132
1451pop/push(0,395): C_0*X_0*( C_1 + C_2*(X_0)^3 )
1452Testscore 2000
1453pop/push(1,396): ( C_0 + C_1*(X_0)^7 + C_2*(X_0)^11 )
1454Testscore 2000
1455pop/push(2,397): ( C_0 + { C_1 }/{ C_2*X_0 } + C_3*(X_0)^4 )
1456Testscore 2000
1457Gen:  131
1458
1459
1460in: PS.step()  133
1461pop/push(0,398): C_0*(X_0)^3*( C_1 + C_2*X_0 )
1462Testscore 2000
1463pop/push(1,399): ( C_0 + C_1*X_0*( C_2 + C_3*X_0 ) )
1464Testscore 2000
1465pop/push(2,400): C_0*( C_1 + { C_2 }/{ X_0 } + C_3*(X_0)^4 )
1466Testscore 2000
1467Gen:  132
1468
1469
1470in: PS.step()  134
1471pop/push(0,401): C_0*(C_1*X_0)^3*( C_2 + X_0 )
1472Testscore 2000
1473pop/push(1,402): ( C_0*C_1 + C_2*X_0*( C_3 + X_0 ) )
1474Testscore 2000
1475pop/push(2,403): C_0*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^4 )
1476Testscore 2000
1477Gen:  133
1478
1479
1480in: PS.step()  135
1481pop/push(0,404): C_0*(X_0)^4*( C_1 + { C_2 }/{ X_0 } )
1482Testscore 2000
1483pop/push(1,405): ( C_0 + C_1*X_0*( C_2 + C_3*X_0 ) )
1484Testscore 2000
1485pop/push(2,406): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^11 )
1486Testscore 2000
1487Gen:  134
1488
1489
1490in: PS.step()  136
1491pop/push(0,407): C_0*(X_0)^4*( C_1 + { C_2 }/{ C_3 } )
1492Testscore 2000
1493pop/push(1,408): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^7 )
1494Testscore 2000
1495pop/push(2,409): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^11 )
1496Testscore 2000
1497Gen:  135
1498
1499
1500in: PS.step()  137
1501pop/push(0,410): C_0*( C_1 + C_2 + C_3*(X_0)^11 )
1502Testscore 2000
1503pop/push(1,411): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^9 )
1504Testscore 2000
1505pop/push(2,412): C_0*(X_0)^3*( C_1 + { C_2 }/{ X_0 } + C_3*X_0 )
1506Testscore 2000
1507Gen:  136
1508
1509
1510in: PS.step()  138
1511pop/push(0,413): ( C_0*(X_0)^3 + C_1*(X_0)^4 )
1512Testscore 2000
1513pop/push(1,414): ( C_0 + C_1*(X_0)^9 + C_2*(X_0)^11 )
1514Testscore 2000
1515pop/push(2,415): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^9 )
1516Testscore 2000
1517Gen:  137
1518
1519
1520in: PS.step()  139
1521pop/push(0,416): C_0*( C_1 + C_2 + C_3*(X_0)^9 )
1522Testscore 2000
1523pop/push(1,417): C_0*( C_1 + C_2*X_0 + C_3*(X_0)^7 )
1524Testscore 2000
1525pop/push(2,418): C_0*X_0*( C_1 + C_2*X_0 + C_3*(X_0)^3 )
1526Testscore 2000
1527Gen:  138
1528
1529
1530in: PS.step()  140
1531pop/push(0,419): C_0*( C_1 + C_2 + C_3*(X_0)^7 )
1532Testscore 2000
1533pop/push(1,420): ( C_0*C_1 + C_2*X_0 + C_3*(X_0)^7 )
1534Testscore 2000
1535pop/push(2,421): ( C_0 + C_1*(X_0)^4*( C_2 + C_3*(X_0)^2 ) )
1536Testscore 2000
1537Gen:  139
1538
1539
1540in: PS.step()  141
1541pop/push(0,422): C_0*(X_0)^3*( C_1 + C_2*X_0 )
1542Testscore 2000
1543pop/push(1,423): C_0*( C_1*C_2 + C_3*(X_0)^3 )
1544Testscore 2000
1545pop/push(2,424): C_0*X_0*( X_0 + { C_1 }/{ X_0 } + C_2*C_3 )
1546Testscore 2000
1547Gen:  140
1548
1549
1550in: PS.step()  142
1551pop/push(0,425): C_0*(X_0)^5*( C_1 + { C_2 }/{ X_0 } )
1552Testscore 2000
1553pop/push(1,426): ( C_0 + C_1*( C_2 + C_3*(X_0)^3 ) )
1554Testscore 2000
1555pop/push(2,427): C_0*X_0*( C_1 + X_0 + C_2*{ C_3 }/{ X_0 } )
1556Testscore 2000
1557Gen:  141
1558
1559
1560in: PS.step()  143
1561pop/push(0,428): C_0*X_0*( C_1 + C_2 + X_0 )
1562Testscore 2000
1563pop/push(1,429): ( C_0 + C_1*( C_2 + C_3*(X_0)^4 ) )
1564Testscore 2000
1565pop/push(2,430): C_0*X_0*( C_1 + C_2*X_0 + C_3*(X_0)^7 )
1566Testscore 2000
1567Gen:  142
1568
1569
1570in: PS.step()  144
1571pop/push(0,431): C_0*(X_0)^4*( C_1 + C_2*X_0 )
1572Testscore 2000
1573pop/push(1,432): ( C_0*(X_0)^3 + C_1*( C_2 + X_0 ) )
1574Testscore 2000
1575pop/push(2,433): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^3 ) )
1576Testscore 2000
1577Gen:  143
1578
1579
1580in: PS.step()  145
1581pop/push(0,434): C_0*(X_0)^4*( C_1 + C_2*X_0 )
1582Testscore 2000
1583pop/push(1,435): ( C_0*(X_0)^4 + C_1*( C_2 + X_0 ) )
1584Testscore 2000
1585pop/push(2,436): ( C_0 + C_1*(X_0)^12*( C_2 + C_3*(X_0)^2 ) )
1586Testscore 2000
1587Gen:  144
1588
1589
1590Gen:  145
1591in: PS.step()  146
1592pop/push(0,437): C_0*(C_1*X_0)^6*( C_2 + X_0 )
1593Testscore 2000
1594pop/push(1,438): ( C_0*(X_0)^4 + C_1*( C_2 + C_3 ) )
1595Testscore 2000
1596pop/push(2,439): ( C_0*(X_0)^4 + C_1*X_0*( C_2 + X_0 ) )
1597Testscore 2000
1598
1599
1600in: PS.step()  147
1601pop/push(0,440): C_0*X_0*( C_1 + C_2*(X_0)^5 )
1602Testscore 2000
1603pop/push(1,441): ( C_0*(X_0)^5 + C_1*( C_2 + X_0 ) )
1604Testscore 2000
1605pop/push(2,442): ( { C_0 }/{ ( X_0 + { C_1 }/{ X_0 } ) } + C_2*C_3 )
1606Testscore 2000
1607Gen:  146
1608
1609
1610in: PS.step()  148
1611pop/push(0,443): ( C_0*(X_0)^3 + C_1*(X_0)^6 )
1612Testscore 2000
1613pop/push(1,444): ( C_0*(X_0)^6 + C_1*( C_2 + X_0 ) )
1614Testscore 2000
1615pop/push(2,445): ( C_0*(X_0)^4 + C_1*(X_0)^2*( C_2 + X_0 ) )
1616Testscore 2000
1617Gen:  147
1618
1619
1620in: PS.step()  149
1621pop/push(0,446): ( C_0*(X_0)^4 + C_1*(X_0)^6 )
1622Testscore 2000
1623pop/push(1,447): ( C_0*(X_0)^6 + C_1*( C_2 + C_3 ) )
1624Testscore 2000
1625pop/push(2,448): ( C_0*(X_0)^6 + C_1*X_0*( C_2 + X_0 ) )
1626Testscore 2000
1627Gen:  148
1628
1629
1630in: PS.step()  150
1631pop/push(0,449): ( C_0*(X_0)^4 + C_1*(X_0)^5 )
1632Testscore 2000
1633pop/push(1,450): ( C_0*(X_0)^7 + C_1*( C_2 + X_0 ) )
1634Testscore 2000
1635pop/push(2,451): ( C_0*(X_0)^4 + C_1*(X_0)^2*( C_2 + C_3 ) )
1636Testscore 2000
1637Gen:  149
1638
1639
1640in: PS.step()  151
1641pop/push(0,452): ( C_0*(X_0)^4 + C_1*(X_0)^7 )
1642Testscore 2000
1643Gen:  150
1644pop/push(1,453): ( C_0*(X_0)^8 + C_1*( C_2 + X_0 ) )
1645Testscore 2000
1646pop/push(2,454): ( C_0*(X_0)^6 + C_1*(X_0)^2*( C_2 + X_0 ) )
1647Testscore 2000
1648
1649
1650in: PS.step()  152
1651pop/push(0,455): ( C_0*(X_0)^4 + C_1*(X_0)^8 )
1652Testscore 2000
1653pop/push(1,456): ( C_0*(X_0)^8 + C_1*( C_2 + C_3 ) )
1654Testscore 2000
1655pop/push(2,457): ( C_0*(X_0)^8 + C_1*X_0*( C_2 + X_0 ) )
1656Testscore 2000
1657Gen:  151
1658
1659
1660in: PS.step()  153
1661Gen:  152
1662pop/push(0,458): ( C_0*(X_0)^4 + C_1*(X_0)^9 )
1663Testscore 2000
1664pop/push(1,459): ( C_0*(X_0)^9 + C_1*( C_2 + X_0 ) )
1665Testscore 2000
1666pop/push(2,460): C_0*X_0*( C_1 + C_2*X_0 + C_3*(X_0)^5 )
1667Testscore 2000
1668
1669
1670in: PS.step()  154
1671pop/push(0,461): ( C_0*(X_0)^4 + C_1*(X_0)^10 )
1672Testscore 2000
1673pop/push(1,462): ( C_0*(X_0)^10 + C_1*( C_2 + X_0 ) )
1674Testscore 2000
1675pop/push(2,463): ( C_0*(X_0)^6 + C_1*(X_0)^2*( C_2 + C_3 ) )
1676Testscore 2000
1677Gen:  153
1678
1679
1680in: PS.step()  155
1681pop/push(0,464): ( C_0*(X_0)^4 + C_1*(X_0)^11 )
1682Testscore 2000
1683pop/push(1,465): ( C_0*(X_0)^10 + C_1*( C_2 + C_3 ) )
1684Testscore 2000
1685pop/push(2,466): ( C_0*(X_0)^8 + C_1*(X_0)^2*( C_2 + X_0 ) )
1686Testscore 2000
1687Gen:  154
1688
1689
1690in: PS.step()  156
1691pop/push(0,467): ( C_0*(X_0)^4 + C_1*(X_0)^12 )
1692Testscore 2000
1693pop/push(1,468): ( C_0*(X_0)^11 + C_1*( C_2 + X_0 ) )
1694Testscore 2000
1695pop/push(2,469): ( C_0*(X_0)^10 + C_1*X_0*( C_2 + X_0 ) )
1696Testscore 2000
1697Gen:  155
1698
1699
1700in: PS.step()  157
1701pop/push(0,470): C_0*(X_0)^5*( C_1 + C_2*X_0 )
1702Testscore 2000
1703pop/push(1,471): ( C_0*(X_0)^12 + C_1*( C_2 + X_0 ) )
1704Testscore 2000
1705pop/push(2,472): ( C_0*(X_0)^8 + C_1*(X_0)^2*( C_2 + C_3 ) )
1706Testscore 2000
1707Gen:  156
1708
1709
1710in: PS.step()  158
1711pop/push(0,473): C_0*(C_1*X_0)^5*( C_2 + X_0 )
1712Testscore 2000
1713pop/push(1,474): ( C_0*(X_0)^12 + C_1*( C_2 + C_3 ) )
1714Testscore 2000
1715pop/push(2,475): ( C_0 + C_1*(X_0)^6*( C_2 + C_3*(X_0)^2 ) )
1716Testscore 2000
1717Gen:  157
1718
1719
1720in: PS.step()  159
1721pop/push(0,476): C_0*(X_0)^5*( C_1 + C_2*X_0 )
1722Testscore 2000
1723pop/push(1,477): ( C_0*(X_0)^11 + C_1*( C_2 + C_3 ) )
1724Testscore 2000
1725pop/push(2,478): ( C_0*(X_0)^12 + C_1*X_0*( C_2 + X_0 ) )
1726Testscore 2000
1727Gen:  158
1728
1729
1730in: PS.step()  160
1731pop/push(0,479): ( C_0*(X_0)^5 + C_1*(X_0)^6 )
1732Testscore 2000
1733pop/push(1,480): ( C_0*(X_0)^9 + C_1*( C_2 + C_3 ) )
1734Testscore 2000
1735pop/push(2,481): ( C_0 + C_1*(X_0)^7*( C_2 + X_0 + { C_3 }/{ X_0 } ) )
1736Testscore 2000
1737Gen:  159
1738
1739
1740in: PS.step()  161
1741pop/push(0,482): C_0*(X_0)^6*( C_1 + { C_2 }/{ X_0 } )
1742Testscore 2000
1743pop/push(1,483): ( C_0*(X_0)^7 + C_1*( C_2 + C_3 ) )
1744Testscore 2000
1745pop/push(2,484): C_0*( C_1 + { C_2 }/{ ( X_0 + { C_3 }/{ X_0 } ) } )
1746Testscore 2000
1747Gen:  160
1748
1749
1750in: PS.step()  162
1751pop/push(0,485): C_0*(X_0)^6*( C_1 + { C_2 }/{ C_3 } )
1752Testscore 2000
1753pop/push(1,486): ( C_0*(X_0)^3 + C_1*( C_2 + C_3 ) )
1754Testscore 2000
1755pop/push(2,487): ( C_0 + { C_1 }/{ ( X_0 + C_2*{ C_3 }/{ X_0 } ) } )
1756Testscore 2000
1757Gen:  161
1758
1759
1760in: PS.step()  163
1761pop/push(0,488): ( C_0 + { C_1 }/{ ( C_2 + X_0 ) } )
1762Testscore 2000
1763pop/push(1,489): ( C_0 + { C_1 }/{ ( X_0 + { C_2 }/{ (X_0)^2 } ) } )
1764Testscore 2000
1765pop/push(2,490): ( C_0 + C_1*X_0 + C_2*(X_0)^9*( C_3 + X_0 ) )
1766Testscore 2000
1767Gen:  162
1768
1769
1770in: PS.step()  164
1771pop/push(0,491): ( C_0 + { C_1 }/{ ( C_2 + C_3 ) } )
1772Testscore 2000
1773pop/push(1,492): ( C_0 + { C_1 }/{ ( C_2 + { C_3 }/{ (X_0)^2 } ) } )
1774Testscore 2000
1775pop/push(2,493): ( C_0*(X_0)^4 + C_1*X_0*( C_2 + C_3*X_0 ) )
1776Testscore 2000
1777Gen:  163
1778
1779
1780in: PS.step()  165
1781pop/push(0,494): ( C_0 + { C_1 }/{ ( C_2 + X_0 ) } )
1782Testscore 2000
1783pop/push(1,495): ( C_0 + C_1 + C_2*(X_0)^9*( C_3 + X_0 ) )
1784Testscore 2000
1785pop/push(2,496): ( C_0*C_1 + C_2*(X_0)^9*( C_3 + X_0 ) )
1786Testscore 2000
1787Gen:  164
1788
1789
1790in: PS.step()  166
1791pop/push(0,497): ( C_0 + { C_1 }/{ X_0 } + { C_2 }/{ C_3 } )
1792Testscore 2000
1793pop/push(1,498): ( C_0 + { C_1 }/{ ( C_2 + C_3*X_0 ) } )
1794Testscore 2000
1795pop/push(2,499): ( C_0 + { C_1 }/{ ( C_2 + X_0 ) } + C_3*X_0 )
1796Testscore 2000
1797Gen:  165
1798
1799
1800Gen:  166
1801in: PS.step()  167
1802pop/push(0,500): ( C_0 + C_1 + { C_2 }/{ ( C_3 + X_0 ) } )
1803Testscore 2000
1804pop/push(1,501): ( { C_0 }/{ ( C_1 + X_0 ) } + C_2*C_3 )
1805Testscore 2000
1806pop/push(2,502): ( C_0 + { C_1 }/{ ( C_2 + C_3*(X_0)^2 ) } )
1807Testscore 2000
1808
1809
1810in: PS.step()  168
1811pop/push(0,503): ( { C_0 }/{ ( C_1 + C_2 ) } + C_3*C_4 )
1812Testscore 2000
1813pop/push(1,504): ( C_0 + { C_1 }/{ ( C_2 + X_0 + { C_3 }/{ X_0 } ) } )
1814Testscore 2000
1815pop/push(2,505): ( C_0*C_1 + C_2*(X_0)^10*( C_3 + X_0 ) )
1816Testscore 2000
1817Gen:  167
1818
1819
1820in: PS.step()  169
1821pop/push(0,506): ( { C_0 }/{ C_1 } + C_2*X_0 )
1822Testscore 2000
1823pop/push(1,507): ( C_0 + { C_1 }/{ ( C_2 + C_3*X_0 ) } )
1824Testscore 2000
1825pop/push(2,508): ( C_0*C_1 + C_2*(X_0)^8*( C_3 + X_0 ) )
1826Testscore 2000
1827Gen:  168
1828
1829
1830in: PS.step()  170
1831pop/push(0,509): ( { C_0 }/{ C_1 } + { C_2 }/{ X_0 } )
1832Testscore 2000
1833pop/push(1,510): ( { C_0 }/{ ( C_1 + X_0 ) } + C_2*X_0 )
1834Testscore 2000
1835pop/push(2,511): ( { C_0 }/{ ( C_1 + C_2*X_0 ) } + C_3*C_4 )
1836Testscore 2000
1837Gen:  169
1838
1839
1840in: PS.step()  171
1841pop/push(0,512): ( C_0 + { C_1 }/{ ( C_2 + X_0 ) } )
1842Testscore 2000
1843pop/push(1,513): ( C_0 + { C_1 }/{ ( C_2*C_3 + C_4*X_0 ) } )
1844Testscore 2000
1845pop/push(2,514): ( { C_0 }/{ ( C_1 + X_0 + { C_2 }/{ X_0 } ) } + C_3*X_0 )
1846Testscore 2000
1847Gen:  170
1848
1849
1850in: PS.step()  172
1851pop/push(0,515): ( { C_0 }/{ ( C_1 + C_2 ) } + C_3*X_0 )
1852Testscore 2000
1853pop/push(1,516): ( C_0 + { C_1 }/{ ( C_2 + X_0 + { C_3 }/{ X_0 } ) } )
1854Testscore 2000
1855pop/push(2,517): ( { C_0 }/{ ( C_1 + X_0 + { C_2 }/{ X_0 } ) } + C_3*C_4 )
1856Testscore 2000
1857Gen:  171
1858
1859
1860in: PS.step()  173
1861pop/push(0,518): ( C_0 + { C_1 }/{ C_2 } )
1862Testscore 2000
1863pop/push(1,519): ( C_0 + { C_1 }/{ ( C_2 + X_0 + C_3*{ C_4 }/{ X_0 } ) } )
1864Testscore 2000
1865pop/push(2,520): ( C_0*(X_0)^4 + C_1*X_0*( C_2 + C_3*X_0 ) )
1866Testscore 2000
1867Gen:  172
1868
1869
1870in: PS.step()  174
1871pop/push(0,521): ( { C_0 }/{ C_1 } + C_2*(X_0)^2 )
1872Testscore 2000
1873pop/push(1,522): ( C_0 + { C_1 }/{ ( C_2 + X_0 + { C_3 }/{ (X_0)^2 } ) } )
1874Testscore 2000
1875pop/push(2,523): C_0*(X_0)^2*( C_1 + { C_2 }/{ C_3 } + C_4*(X_0)^2 )
1876Testscore 2000
1877Gen:  173
1878
1879
1880in: PS.step()  175
1881pop/push(0,524): ( C_0 + { C_1 }/{ ( C_2 + C_3 + X_0 ) } )
1882Testscore 2000
1883pop/push(1,525): ( C_0 + { C_1 }/{ ( C_2 + C_3 + { C_4 }/{ (X_0)^2 } ) } )
1884Testscore 2000
1885pop/push(2,526): ( C_0 + C_1*X_0 + C_2*(X_0)^2 + C_3*(X_0)^6 )
1886Testscore 2000
1887Gen:  174
1888
1889
1890in: PS.step()  176
1891pop/push(0,527): ( C_0 + { C_1 }/{ C_2*C_3 } )
1892Testscore 2000
1893pop/push(1,528): ( C_0 + C_1 + C_2*(X_0)^2 + C_3*(X_0)^6 )
1894Testscore 2000
1895pop/push(2,529): ( C_0*C_1 + C_2*(X_0)^2 + C_3*(X_0)^6 )
1896Testscore 2000
1897Gen:  175
1898
1899
1900in: PS.step()  177
1901pop/push(0,530): ( C_0 + { C_1 }/{ ( X_0 + C_2*C_3 ) } )
1902Testscore 2000
1903pop/push(1,531): ( C_0*C_1 + C_2*(X_0)^9*( C_3 + C_4 ) )
1904Testscore 2000
1905pop/push(2,532): ( C_0 + { C_1 }/{ ( X_0 + { C_2 }/{ X_0 } + C_3*C_4 ) } )
1906Testscore 2000
1907Gen:  176
1908
1909
1910in: PS.step()  178
1911pop/push(0,533): ( { C_0 }/{ ( C_1 + X_0 ) } + { C_2 }/{ X_0 } )
1912Testscore 2000
1913pop/push(1,534): ( C_0 + { C_1 }/{ ( C_2 + C_3 ) } + C_4*X_0 )
1914Testscore 2000
1915pop/push(2,535): ( C_0 + { C_1 }/{ ( C_2*C_3 + C_4*X_0 ) } )
1916Testscore 2000
1917Gen:  177
1918
1919
1920in: PS.step()  179
1921pop/push(0,536): ( C_0 + C_1 + { C_2 }/{ C_3 } )
1922Testscore 2000
1923pop/push(1,537): ( { C_0 }/{ ( C_1 + X_0 ) } + { C_2 }/{ C_3 } )
1924Testscore 2000
1925pop/push(2,538): ( C_0 + { C_1 }/{ ( C_2 + { C_3 }/{ X_0 } + C_4*X_0 ) } )
1926Testscore 2000
1927Gen:  178
1928
1929
1930in: PS.step()  180
1931pop/push(0,539): ( { C_0 }/{ ( C_1 + C_2 ) } + { C_3 }/{ X_0 } )
1932Testscore 2000
1933pop/push(1,540): ( C_0*(X_0)^5 + C_1*( C_2 + C_3 ) )
1934Testscore 2000
1935pop/push(2,541): ( C_0*C_1 + C_2*( C_3 + C_4*X_0 ) )
1936Testscore 2000
1937Gen:  179
1938
1939
1940in: PS.step()  181
1941pop/push(0,542): ( { C_0 }/{ C_1 } + { C_2 }/{ C_3*X_0 } )
1942Testscore 2000
1943pop/push(1,543): C_0*( C_1*C_2 + C_3*(X_0)^5 )
1944Testscore 2000
1945pop/push(2,544): ( { C_0 }/{ C_1 } + { C_2 }/{ ( X_0 + { C_3 }/{ X_0 } ) } )
1946Testscore 2000
1947Gen:  180
1948
1949
1950in: PS.step()  182
1951pop/push(0,545): C_0*(X_0)^7*( C_1 + { C_2 }/{ X_0 } )
1952Testscore 2000
1953pop/push(1,546): ( C_0 + C_1*( C_2 + C_3*(X_0)^5 ) )
1954Testscore 2000
1955pop/push(2,547): ( C_0 + C_1*( C_2*C_3 + C_4*X_0 ) )
1956Testscore 2000
1957Gen:  181
1958
1959
1960in: PS.step()  183
1961pop/push(0,548): C_0*(X_0)^6*( C_1 + C_2*X_0 )
1962Testscore 2000
1963pop/push(1,549): ( C_0 + C_1*( C_2 + C_3*(X_0)^6 ) )
1964Testscore 2000
1965pop/push(2,550): ( C_0 + C_1*(X_0)^10*( C_2 + X_0 + { C_3 }/{ X_0 } ) )
1966Testscore 2000
1967Gen:  182
1968
1969
1970in: PS.step()  184
1971pop/push(0,551): C_0*(X_0)^6*( C_1 + C_2*X_0 )
1972Testscore 2000
1973pop/push(1,552): ( C_0 + C_1*( C_2 + C_3*(X_0)^7 ) )
1974Testscore 2000
1975pop/push(2,553): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^5 ) )
1976Testscore 2000
1977Gen:  183
1978
1979
1980in: PS.step()  185
1981pop/push(0,554): C_0*(C_1*X_0)^8*( C_2 + X_0 )
1982Testscore 2000
1983pop/push(1,555): ( C_0 + C_1*( C_2 + C_3*(X_0)^8 ) )
1984Testscore 2000
1985pop/push(2,556): ( C_0 + C_1*(X_0)^10*( C_2 + C_3 + { C_4 }/{ X_0 } ) )
1986Testscore 2000
1987Gen:  184
1988
1989
1990in: PS.step()  186
1991pop/push(0,557): C_0*X_0*( C_1 + C_2*(X_0)^7 )
1992Testscore 2000
1993pop/push(1,558): ( C_0 + C_1*( C_2 + C_3*(X_0)^9 ) )
1994Testscore 2000
1995pop/push(2,559): ( C_0 + C_1*(X_0)^11*( C_2 + { C_3 }/{ X_0 } ) )
1996Testscore 2000
1997Gen:  185
1998
1999
2000in: PS.step()  187
2001pop/push(0,560): ( C_0 + C_1*( C_2 + { C_3 }/{ X_0 } ) )
2002Testscore 2000
2003pop/push(1,561): ( C_0 + C_1*( C_2 + C_3*(X_0)^10 ) )
2004Testscore 2000
2005pop/push(2,562): ( C_0 + C_1*(X_0)^10*( C_2 + { C_3 }/{ X_0 } ) )
2006Testscore 2000
2007Gen:  186
2008
2009
2010in: PS.step()  188
2011pop/push(0,563): ( C_0*(X_0)^3 + C_1*(X_0)^8 )
2012Testscore 2000
2013pop/push(1,564): ( C_0 + C_1*( C_2 + C_3*(X_0)^11 ) )
2014Testscore 2000
2015pop/push(2,565): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^9 ) )
2016Testscore 2000
2017Gen:  187
2018
2019
2020in: PS.step()  189
2021pop/push(0,566): C_0*(X_0)^8*( C_1 + C_2*X_0 )
2022Testscore 2000
2023pop/push(1,567): ( C_0 + C_1*( C_2 + C_3*(X_0)^12 ) )
2024Testscore 2000
2025pop/push(2,568): ( C_0 + C_1*(X_0)^9*( C_2 + { C_3 }/{ X_0 } ) )
2026Testscore 2000
2027Gen:  188
2028
2029
2030in: PS.step()  190
2031pop/push(0,569): C_0*(X_0)^8*( C_1 + C_2*X_0 )
2032Testscore 2000
2033pop/push(1,570): ( C_0 + C_1*X_0*( C_2 + { C_3 }/{ X_0 } ) )
2034Testscore 2000
2035pop/push(2,571): ( C_0 + C_1*(X_0)^8*( C_2 + { C_3 }/{ X_0 } ) )
2036Testscore 2000
2037Gen:  189
2038
2039
2040in: PS.step()  191
2041pop/push(0,572): C_0*(C_1*X_0)^7*( C_2 + X_0 )
2042Testscore 2000
2043pop/push(1,573): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^5 )
2044Testscore 2000
2045pop/push(2,574): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^7 ) )
2046Testscore 2000
2047Gen:  190
2048
2049
2050in: PS.step()  192
2051pop/push(0,575): C_0*(X_0)^7*( C_1 + C_2*X_0 )
2052Testscore 2000
2053pop/push(1,576): ( C_0 + C_1*(X_0)^2 + C_2*(X_0)^3 )
2054Testscore 2000
2055pop/push(2,577): ( C_0 + C_1*(X_0)^12*( C_2 + { C_3 }/{ X_0 } ) )
2056Testscore 2000
2057Gen:  191
2058
2059
2060in: PS.step()  193
2061pop/push(0,578): C_0*(X_0)^7*( C_1 + C_2*X_0 )
2062Testscore 2000
2063pop/push(1,579): ( C_0 + { C_1 }/{ ( C_2 + C_3*(X_0)^3 ) } )
2064Testscore 2000
2065pop/push(2,580): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^11 ) )
2066Testscore 2000
2067Gen:  192
2068
2069
2070in: PS.step()  194
2071pop/push(0,581): C_0*(X_0)^8*( C_1 + { C_2 }/{ X_0 } )
2072Testscore 2000
2073pop/push(1,582): ( C_0 + { C_1 }/{ ( C_2 + C_3*(X_0)^4 ) } )
2074Testscore 2000
2075pop/push(2,583): ( C_0 + C_1*(X_0)^7*( C_2 + { C_3 }/{ X_0 } ) )
2076Testscore 2000
2077Gen:  193
2078
2079
2080in: PS.step()  195
2081pop/push(0,584): C_0*(X_0)^8*( C_1 + { C_2 }/{ C_3 } )
2082Testscore 2000
2083pop/push(1,585): C_0*( C_1 + X_0 )*( X_0 + { C_2 }/{ X_0 } )
2084Testscore 2000
2085pop/push(2,586): ( C_0 + C_1*(X_0)^6*( C_2 + { C_3 }/{ X_0 } ) )
2086Testscore 2000
2087Gen:  194
2088
2089
2090in: PS.step()  196
2091pop/push(0,587): C_0*(X_0)^9*( C_1 + { C_2 }/{ X_0 } )
2092Testscore 2000
2093pop/push(1,588): C_0*( C_1 + X_0 )*( X_0 + { C_2 }/{ C_3 } )
2094Testscore 2000
2095pop/push(2,589): ( C_0 + C_1*(X_0)^5*( C_2 + { C_3 }/{ X_0 } ) )
2096Testscore 2000
2097Gen:  195
2098
2099
2100in: PS.step()  197
2101pop/push(0,590): C_0*X_0*(( C_1 + X_0 ))^2
2102Testscore 2000
2103pop/push(1,591): C_0*( C_1 + X_0 )*( C_2 + C_3 )
2104Testscore 2000
2105pop/push(2,592): ( C_0 + C_1*(X_0)^4*( C_2 + { C_3 }/{ X_0 } ) )
2106Testscore 2000
2107Gen:  196
2108
2109
2110in: PS.step()  198
2111pop/push(0,593): C_0*X_0*(( C_1 + C_2 ))^2
2112Testscore 2000
2113pop/push(1,594): C_0*( C_1 + C_2 )*( C_3 + X_0 )
2114Testscore 2000
2115pop/push(2,595): C_0*X_0*( C_1 + X_0 )*( X_0 + { C_2 }/{ X_0 } )
2116Testscore 2000
2117Gen:  197
2118
2119
2120in: PS.step()  199
2121pop/push(0,596): ( C_0*(X_0)^5 + C_1*(X_0)^8 )
2122Testscore 2000
2123pop/push(1,597): ( C_0*X_0 + C_1*(( C_2 + X_0 ))^2 )
2124Testscore 2000
2125pop/push(2,598): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^12 ) )
2126Testscore 2000
2127Gen:  198
2128
2129
2130in: PS.step()  200
2131pop/push(0,599): ( C_0 + C_1*(( C_2 + X_0 ))^2 )
2132Testscore 2000
2133pop/push(1,600): C_0*X_0*( C_1 + C_2 )*( X_0 + { C_3 }/{ X_0 } )
2134Testscore 2000
2135pop/push(2,601): ( C_0 + C_1*(X_0)^2*( C_2 + C_3*(X_0)^12 ) )
2136Testscore 2000
2137Gen:  199
2138
2139
2140in: PS.step()  201
2141pop/push(0,602): ( C_0 + C_1*(( C_2 + X_0 ))^2 )
2142Testscore 2000
2143pop/push(1,603): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^10 ) )
2144Testscore 2000
2145Gen:  200
2146pop/push(2,604): C_0*( C_1 + C_2*(X_0)^3 + C_3*(X_0)^10 )
2147Testscore 2000
2148
2149
2150in: PS.step()  202
2151pop/push(0,605): ( C_0 + C_1*X_0*(( C_2 + X_0 ))^2 )
2152Testscore 2000
2153Gen:  201
2154pop/push(1,606): C_0*( C_1 + C_2*X_0 )*( C_3 + X_0 )
2155Testscore 2000
2156pop/push(2,607): ( C_0 + C_1*X_0*( C_2 + C_3*(X_0)^8 ) )
2157Testscore 2000
2158
2159
2160PGE: stop sig recv'd
2161DS sent -1 to Srch 0
2162PGE sending last report
2163PGE exitting
2164DS done =  1 1
2165DAMD checking last messages
2166Gen:  202
2167DS done stopping
21680: df(x) = ( 0.079809 )
2169( C_0 )
2170coeff: [0.07980850499999992]
2171size:    2   depth:    2   
2172uId:     0   pId:      0
2173iId:     0   tId:      0
2174
2175train NaNs:    0
2176train L1:   0.046552
2177
2178test  NaNs:    0
2179test Evals: 2000   
2180test  L1:   0.046653
2181test  L2:   0.052102
2182
2183
21841: df(x) = ( 0.000179*( 446.069128 + x ) )
2185( C_0*( C_1 + X_0 ) )
2186coeff: [0.00017891220135927586 446.06912782062756]
2187size:    6   depth:    4   
2188uId:   186   pId:      0
2189iId:    23   tId:      6
2190
2191train NaNs:    0
2192train L1:   0.046557
2193
2194test  NaNs:    0
2195test Evals: 2000   
2196test  L1:   0.046653
2197test  L2:   0.052102
2198
2199
22002: df(x) = ( 0.089758 + -0.113827*(x)^10 )
2201( C_0 + C_1*(X_0)^10 )
2202coeff: [0.08975826941988532 -0.11382672426220787]
2203size:    6   depth:    4   
2204uId:   108   pId:      0
2205iId:    11   tId:      0
2206
2207train NaNs:    0
2208train L1:   0.039222
2209
2210test  NaNs:    0
2211test Evals: 2000   
2212test  L1:   0.039879
2213test  L2:   0.047607
2214
2215
22163: df(x) = ( -0.455121 + 0.544879 + -0.113827*(x)^10 )
2217( C_0 + C_1 + C_2*(X_0)^10 )
2218coeff: [-0.4551208652898873 0.5448791347097993 -0.11382672426250028]
2219size:    7   depth:    4   
2220uId:   132   pId:      0
2221iId:    13   tId:      5
2222
2223train NaNs:    0
2224train L1:   0.039222
2225
2226test  NaNs:    0
2227test Evals: 2000   
2228test  L1:   0.039879
2229test  L2:   0.047607
2230
2231
22324: df(x) = ( 0.044581*( 2.013354 + -2.553229*(x)^10 ) )
2233( C_0*( C_1 + C_2*(X_0)^10 ) )
2234coeff: [0.044581471701526626 2.013353664519131 -2.5532294004338976]
2235size:    9   depth:    6   
2236uId:   368   pId:      0
2237iId:    38   tId:      6
2238
2239train NaNs:    0
2240train L1:   0.039222
2241
2242test  NaNs:    0
2243test Evals: 2000   
2244test  L1:   0.039879
2245test  L2:   0.047607
2246
2247
22485: df(x) = ( 0.645862*(x)^2 + -0.720425*(x)^4 )
2249( C_0*(X_0)^2 + C_1*(X_0)^4 )
2250coeff: [0.6458615160190124 -0.7204251408607616]
2251size:    9   depth:    4   
2252uId:   562   pId:      0
2253iId:    55   tId:      3
2254
2255train NaNs:    0
2256train L1:   0.019811
2257
2258test  NaNs:    0
2259test Evals: 2000   
2260test  L1:   0.018470
2261test  L2:   0.022144
2262
2263
22646: df(x) = ( 0.023965 + 0.533932*(x)^2 + -0.620268*(x)^4 )
2265( C_0 + C_1*(X_0)^2 + C_2*(X_0)^4 )
2266coeff: [0.023964551217868623 0.5339322027461939 -0.6202676200946569]
2267size:   10   depth:    4   
2268uId:   563   pId:      0
2269iId:    55   tId:      4
2270
2271train NaNs:    0
2272train L1:   0.017297
2273
2274test  NaNs:    0
2275test Evals: 2000   
2276test  L1:   0.016753
2277test  L2:   0.019095
2278
2279
22807: df(x) = ( -0.488018 + 0.511982 + 0.533932*(x)^2 + -0.620268*(x)^4 )
2281( C_0 + C_1 + C_2*(X_0)^2 + C_3*(X_0)^4 )
2282coeff: [-0.48801772439372354 0.5119822756071698 0.5339322027846128 -0.6202676201372549]
2283size:   11   depth:    4   
2284uId:    98   pId:      0
2285iId:    10   tId:      8
2286
2287train NaNs:    0
2288train L1:   0.017297
2289
2290test  NaNs:    0
2291test Evals: 2000   
2292test  L1:   0.016753
2293test  L2:   0.019095
2294
2295
22968: df(x) = ( 0.023500 + -0.628076*(x)^3*( -0.017274 + x + { -0.859639 }/{ x } ) )
2297( C_0 + C_1*(X_0)^3*( C_2 + X_0 + { C_3 }/{ X_0 } ) )
2298coeff: [0.023499672535429197 -0.6280756164648147 -0.0172744367092041 -0.8596389099299493]
2299size:   12   depth:    5   
2300uId:   746   pId:      0
2301iId:    75   tId:      5
2302
2303train NaNs:    0
2304train L1:   0.016825
2305
2306test  NaNs:    0
2307test Evals: 2000   
2308test  L1:   0.016679
2309test  L2:   0.019366
2310
2311
23129: df(x) = 0.188140*x*( { 3.614176 }/{ ( x + { 0.392684 }/{ x } ) } + -2.739111*x )
2313C_0*X_0*( { C_1 }/{ ( X_0 + { C_2 }/{ X_0 } ) } + C_3*X_0 )
2314coeff: [0.18814032696674224 3.6141760211265845 0.39268390155286803 -2.739111127172396]
2315size:   14   depth:    6   
2316uId:  1090   pId:      0
2317iId:   112   tId:      9
2318
2319train NaNs:    0
2320train L1:   0.005425
2321
2322test  NaNs:    0
2323test Evals: 2000   
2324test  L1:   0.005231
2325test  L2:   0.006504
2326
2327
232810: df(x) = ( -0.460096 + 0.539904 )
2329( C_0 + C_1 )
2330coeff: [-0.4600957474977863 0.5399042525020434]
2331size:    3   depth:    2   
2332uId:    11   pId:      0
2333iId:     1   tId:      4
2334
2335train NaNs:    0
2336train L1:   0.046552
2337
2338test  NaNs:    0
2339test Evals: 2000   
2340test  L1:   0.046653
2341test  L2:   0.052102
2342
2343
234411: df(x) = ( 0.039904*( 1.000001 + 1.000001 ) )
2345( C_0*( C_1 + C_2 ) )
2346coeff: [0.039904220817904595 1.0000007939534894 1.0000007939534894]
2347size:    6   depth:    4   
2348uId:   184   pId:      0
2349iId:    23   tId:      4
2350
2351train NaNs:    0
2352train L1:   0.046552
2353
2354test  NaNs:    0
2355test Evals: 2000   
2356test  L1:   0.046653
2357test  L2:   0.052102
2358
2359
236012: df(x) = ( 0.089758 + -0.113827*(x)^10 )
2361( C_0 + C_1*(X_0)^10 )
2362coeff: [0.08975826937843648 -0.11382672380770797]
2363size:    6   depth:    4   
2364uId:   676   pId:      0
2365iId:    70   tId:      0
2366
2367train NaNs:    0
2368train L1:   0.039222
2369
2370test  NaNs:    0
2371test Evals: 2000   
2372test  L1:   0.039879
2373test  L2:   0.047607
2374
2375
237613: df(x) = ( 0.089725*1.000374 + -0.113827*(x)^10 )
2377( C_0*C_1 + C_2*(X_0)^10 )
2378coeff: [0.08972473511049411 1.0003737465410334 -0.11382672426222396]
2379size:    8   depth:    4   
2380uId:   133   pId:      0
2381iId:    13   tId:      6
2382
2383train NaNs:    0
2384train L1:   0.039222
2385
2386test  NaNs:    0
2387test Evals: 2000   
2388test  L1:   0.039879
2389test  L2:   0.047607
2390
2391
239214: df(x) = ( 0.417058*(x)^2 + -0.509817*(x)^6 )
2393( C_0*(X_0)^2 + C_1*(X_0)^6 )
2394coeff: [0.41705755653695775 -0.5098174467080481]
2395size:    9   depth:    4   
2396uId:   622   pId:      0
2397iId:    63   tId:      1
2398
2399train NaNs:    0
2400train L1:   0.031006
2401
2402test  NaNs:    0
2403test Evals: 2000   
2404test  L1:   0.029352
2405test  L2:   0.034465
2406
2407
240815: df(x) = ( 0.257298*(x)^2*( 2.510171 + -2.799966*(x)^2 ) )
2409( C_0*(X_0)^2*( C_1 + C_2*(X_0)^2 ) )
2410coeff: [0.2572978375106597 2.510170789984332 -2.7999657823276265]
2411size:   11   depth:    6   
2412uId:   273   pId:      0
2413iId:    32   tId:      4
2414
2415train NaNs:    0
2416train L1:   0.019811
2417
2418test  NaNs:    0
2419test Evals: 2000   
2420test  L1:   0.018470
2421test  L2:   0.022144
2422
2423
242416: df(x) = ( 0.123200*( 0.194517 + 4.333851*(x)^2 + -5.034623*(x)^4 ) )
2425( C_0*( C_1 + C_2*(X_0)^2 + C_3*(X_0)^4 ) )
2426coeff: [0.1232004171878126 0.19451680246267214 4.333850606777665 -5.034622725276531]
2427size:   13   depth:    6   
2428uId:  1198   pId:      0
2429iId:   125   tId:      9
2430
2431train NaNs:    0
2432train L1:   0.017297
2433
2434test  NaNs:    0
2435test Evals: 2000   
2436test  L1:   0.016753
2437test  L2:   0.019095
2438
2439
244017: df(x) = ( 0.023744 + 0.004765*x + 0.537021*(x)^2 + -0.624101*(x)^4 )
2441( C_0 + C_1*X_0 + C_2*(X_0)^2 + C_3*(X_0)^4 )
2442coeff: [0.02374396283271535 0.004764666049497733 0.5370212512621719 -0.6241013258245458]
2443size:   13   depth:    4   
2444uId:    69   pId:      0
2445iId:     8   tId:      5
2446
2447train NaNs:    0
2448train L1:   0.017115
2449
2450test  NaNs:    0
2451test Evals: 2000   
2452test  L1:   0.016737
2453test  L2:   0.019227
2454
2455
245618: df(x) = ( -0.007278*x )
2457( C_0*X_0 )
2458coeff: [-0.007277815373102399]
2459size:    4   depth:    3   
2460uId:     4   pId:      0
2461iId:     0   tId:      2
2462
2463train NaNs:    0
2464train L1:   0.079488
2465
2466test  NaNs:    0
2467test Evals: 2000   
2468test  L1:   0.075451
2469test  L2:   0.091541
2470
2471
247219: df(x) = ( 0.135160*(x)^2 )
2473( C_0*(X_0)^2 )
2474coeff: [0.13516013232889207]
2475size:    5   depth:    4   
2476uId:     5   pId:      0
2477iId:     0   tId:      3
2478
2479train NaNs:    0
2480train L1:   0.063533
2481
2482test  NaNs:    0
2483test Evals: 2000   
2484test  L1:   0.060615
2485test  L2:   0.071865
2486
2487
248820: df(x) = ( -0.389928 + { 0.629638 }/{ 1.340407 } )
2489( C_0 + { C_1 }/{ C_2 } )
2490coeff: [-0.3899279194631978 0.6296379845590204 1.340406985195743]
2491size:    5   depth:    3   
2492uId:    21   pId:      0
2493iId:     2   tId:      7
2494
2495train NaNs:    0
2496train L1:   0.046552
2497
2498test  NaNs:    0
2499test Evals: 2000   
2500test  L1:   0.046653
2501test  L2:   0.052102
2502
2503
250421: df(x) = ( 0.090761 + -0.103439*(x)^8 )
2505( C_0 + C_1*(X_0)^8 )
2506coeff: [0.0907608642925428 -0.10343919699317938]
2507size:    6   depth:    4   
2508uId:    77   pId:      0
2509iId:     9   tId:      0
2510
2511train NaNs:    0
2512train L1:   0.039271
2513
2514test  NaNs:    0
2515test Evals: 2000   
2516test  L1:   0.039981
2517test  L2:   0.047993
2518
2519
252022: df(x) = ( 0.089779 + 0.000511*x + -0.114000*(x)^10 )
2521( C_0 + C_1*X_0 + C_2*(X_0)^10 )
2522coeff: [0.08977937138634777 0.0005113107462998685 -0.11399993857892284]
2523size:    9   depth:    4   
2524uId:   117   pId:      0
2525iId:    12   tId:      1
2526
2527train NaNs:    0
2528train L1:   0.039221
2529
2530test  NaNs:    0
2531test Evals: 2000   
2532test  L1:   0.039874
2533test  L2:   0.047610
2534
2535
253623: df(x) = ( 0.039779 + 0.288512*(x)^2 + -0.400207*(x)^6 )
2537( C_0 + C_1*(X_0)^2 + C_2*(X_0)^6 )
2538coeff: [0.03977857423208525 0.2885123637683397 -0.40020685007835194]
2539size:   10   depth:    4   
2540uId:    85   pId:      0
2541iId:     9   tId:      8
2542
2543train NaNs:    0
2544train L1:   0.025281
2545
2546test  NaNs:    0
2547test Evals: 2000   
2548test  L1:   0.024849
2549test  L2:   0.027762
2550
2551
255224: df(x) = ( -0.420703 + { 0.604039 }/{ 1.358407 } + 0.533932*(x)^2 + -0.620268*(x)^4 )
2553( C_0 + { C_1 }/{ C_2 } + C_3*(X_0)^2 + C_4*(X_0)^4 )
2554coeff: [-0.4207025826743423 0.6040391495021012 1.3584074546299565 0.533932202784663 -0.6202676201373105]
2555size:   13   depth:    4   
2556uId:   633   pId:      0
2557iId:    64   tId:      4
2558
2559train NaNs:    0
2560train L1:   0.017297
2561
2562test  NaNs:    0
2563test Evals: 2000   
2564test  L1:   0.016753
2565test  L2:   0.019095
2566
2567
256825: df(x) = ( 0.107596*(x)^4 )
2569( C_0*(X_0)^4 )
2570coeff: [0.1075955097120901]
2571size:    5   depth:    4   
2572uId:    10   pId:      0
2573iId:     1   tId:      3
2574
2575train NaNs:    0
2576train L1:   0.075150
2577
2578test  NaNs:    0
2579test Evals: 2000   
2580test  L1:   0.071246
2581test  L2:   0.084722
2582
2583
258426: df(x) = ( 0.088826 + -0.120377*(x)^12 )
2585( C_0 + C_1*(X_0)^12 )
2586coeff: [0.08882586853072429 -0.12037659907420865]
2587size:    6   depth:    4   
2588uId:   127   pId:      0
2589iId:    13   tId:      0
2590
2591train NaNs:    0
2592train L1:   0.039570
2593
2594test  NaNs:    0
2595test Evals: 2000   
2596test  L1:   0.040228
2597test  L2:   0.047558
2598
2599
260027: df(x) = ( -0.454620 + 0.545380 + -0.103439*(x)^8 )
2601( C_0 + C_1 + C_2*(X_0)^8 )
2602coeff: [-0.45461956785381225 0.5453804321463402 -0.10343919699304255]
2603size:    7   depth:    4   
2604uId:   151   pId:      0
2605iId:    17   tId:      0
2606
2607train NaNs:    0
2608train L1:   0.039271
2609
2610test  NaNs:    0
2611test Evals: 2000   
2612test  L1:   0.039981
2613test  L2:   0.047993
2614
2615
261628: df(x) = ( 0.025357*( 1.769907 + 1.769907 + -4.489008*(x)^10 ) )
2617( C_0*( C_1 + C_2 + C_3*(X_0)^10 ) )
2618coeff: [0.025356768556498554 1.7699074948298628 1.7699074948298603 -4.489007509668511]
2619size:   10   depth:    6   
2620uId:   506   pId:      0
2621iId:    50   tId:      9
2622
2623train NaNs:    0
2624train L1:   0.039222
2625
2626test  NaNs:    0
2627test Evals: 2000   
2628test  L1:   0.039879
2629test  L2:   0.047607
2630
2631
263229: df(x) = ( 0.048944 + 0.198785*(x)^2 + -0.322504*(x)^8 )
2633( C_0 + C_1*(X_0)^2 + C_2*(X_0)^8 )
2634coeff: [0.048944453536803385 0.19878545245083867 -0.32250419172301303]
2635size:   10   depth:    4   
2636uId:   152   pId:      0
2637iId:    17   tId:      1
2638
2639train NaNs:    0
2640train L1:   0.030115
2641
2642test  NaNs:    0
2643test Evals: 2000   
2644test  L1:   0.029889
2645test  L2:   0.033277
2646
2647
264830: df(x) = ( 0.091500 + -0.086131*(x)^6 )
2649( C_0 + C_1*(X_0)^6 )
2650coeff: [0.09150033620008655 -0.08613075105110764]
2651size:    6   depth:    4   
2652uId:    56   pId:      0
2653iId:     7   tId:      3
2654
2655train NaNs:    0
2656train L1:   0.040615
2657
2658test  NaNs:    0
2659test Evals: 2000   
2660test  L1:   0.041318
2661test  L2:   0.048979
2662
2663
266431: df(x) = ( 0.025357*( 1.769907 + 1.769907 + -4.489008*(x)^10 ) )
2665( C_0*( C_1 + C_2 + C_3*(X_0)^10 ) )
2666coeff: [0.025356768556498554 1.7699074948298628 1.7699074948298603 -4.489007509668511]
2667size:   10   depth:    6   
2668uId:   506   pId:      0
2669iId:    50   tId:      9
2670
2671train NaNs:    0
2672train L1:   0.039222
2673
2674test  NaNs:    0
2675test Evals: 2000   
2676test  L1:   0.039879
2677test  L2:   0.047607
2678
2679
2680Cleaning Main
2681DS leaving Run()
Note: See TracBrowser for help on using the repository browser.