/* The Royal Tree benchmark problem for GP */ /* See paper: William F. Punch, How Effective are Multiple Populations in Genetic Programming */ /* for max. depth 7 (level: g) this is hard to solve. Full enumeration needs a lot of memory. */ PROBLEM RoyalTree CODE << const int MaxDepth = 7; const double FullBonus = 2; const double PartialBonus = 1; const double Penalty = 1.0 / 3.0; const double CompleteBonus = 2.0; >> NONTERMINALS S<>. A<>. B<>. C<>. D<>. E<>. F<>. G<>. TERMINALS X. Y. Z. RULES S<> = LOCAL << perfect = false; if (depth <= 0) { score = 0.0; symb = ' '; return; } >> A<> | B<> | C<> | D<> | E<> | F<> | G<> /* "... it is extremely difficult to climb to a level-f tree and we have never succeeded in climbing to level-g." */ | X SEM << symb = 'X'; score = 1; >> | Y SEM << symb = 'Y'; score = 0; >> | Z SEM << symb = 'Z'; score = 0; >> . A<> = LOCAL << score = 0.0; double s; bool p; double w; char c; symb = 'A'; perfect = false; >> S<> SEM << w = Penalty; if(c == 'X') { w = FullBonus; } >> SEM << score = w * s; >> SEM << if (c=='X') { perfect = true; score = CompleteBonus * score; } >> . B<> = LOCAL << score = 0.0; double s0, s1; bool p0, p1; double w0, w1; char c0 = ' '; char c1 = ' '; symb = 'B'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'A') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'A') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1; >> SEM << if (c0=='A' && c1=='A' && p0 && p1) { perfect = true; score = CompleteBonus * score; } >> . C<> = LOCAL << score = 0.0; double s0, s1, s2; bool p0, p1, p2; double w0, w1, w2; char c0 = ' '; char c1 = ' '; char c2 = ' '; symb = 'C'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'B') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'B') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> S<> SEM << w2 = Penalty; if(c2 == 'B') { w2 = PartialBonus; if(p2) { w2 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1 + w2 * s2; >> SEM << if (c0=='B' && c1=='B' && c2=='B' && p0 && p1 && p2) { perfect = true; score = CompleteBonus * score; } >> . D<> = LOCAL << score = 0.0; double s0, s1, s2, s3; bool p0, p1, p2, p3; double w0, w1, w2, w3; char c0 = ' '; char c1 = ' '; char c2 = ' '; char c3 = ' ' ; symb = 'D'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'C') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'C') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> S<> SEM << w2 = Penalty; if(c2 == 'C') { w2 = PartialBonus; if(p2) { w2 = FullBonus; }} >> S<> SEM << w3 = Penalty; if(c3 == 'C') { w3 = PartialBonus; if(p3) { w3 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1 + w2 * s2 + w3 * s3; >> SEM << if (c0=='C' && c1=='C' && c2=='C' && c3=='C' && p0 && p1 && p2 && p3) { perfect = true; score = CompleteBonus * score; } >> . E<> = LOCAL << score = 0.0; double s0, s1, s2, s3, s4; bool p0, p1, p2, p3, p4; double w0, w1, w2, w3, w4; char c0 = ' '; char c1 = ' '; char c2 = ' '; char c3 = ' '; char c4 = ' '; symb = 'E'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'D') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'D') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> S<> SEM << w2 = Penalty; if(c2 == 'D') { w2 = PartialBonus; if(p2) { w2 = FullBonus; }} >> S<> SEM << w3 = Penalty; if(c3 == 'D') { w3 = PartialBonus; if(p3) { w3 = FullBonus; }} >> S<> SEM << w4 = Penalty; if(c4 == 'D') { w4 = PartialBonus; if(p4) { w4 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1 + w2 * s2 + w3 * s3 + w4 * s4; >> SEM << if (c0=='D' && c1=='D' && c2=='D' && c3=='D' && c4=='D' && p0 && p1 && p2 && p3 && p4) { perfect = true; score = CompleteBonus * score; } >> . F<> = LOCAL << score = 0.0; double s0, s1, s2, s3, s4, s5; bool p0, p1, p2, p3, p4, p5; double w0, w1, w2, w3, w4, w5; char c0 = ' '; char c1 = ' '; char c2 = ' '; char c3 = ' '; char c4 = ' '; char c5 = ' '; symb = 'F'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'E') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'E') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> S<> SEM << w2 = Penalty; if(c2 == 'E') { w2 = PartialBonus; if(p2) { w2 = FullBonus; }} >> S<> SEM << w3 = Penalty; if(c3 == 'E') { w3 = PartialBonus; if(p3) { w3 = FullBonus; }} >> S<> SEM << w4 = Penalty; if(c4 == 'E') { w4 = PartialBonus; if(p4) { w4 = FullBonus; }} >> S<> SEM << w5 = Penalty; if(c5 == 'E') { w5 = PartialBonus; if(p5) { w5 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1 + w2 * s2 + w3 * s3 + w4 * s4 + w5 * s5; >> SEM << if (c0=='E' && c1=='E' && c2=='E' && c3=='E' && c4=='E' && c5=='E' && p0 && p1 && p2 && p3 && p4 && p5) { perfect = true; score = CompleteBonus * score; } >> . G<> = LOCAL << score = 0.0; double s0, s1, s2, s3, s4, s5, s6; bool p0, p1, p2, p3, p4, p5, p6; double w0, w1, w2, w3, w4, w5, w6; char c0 = ' '; char c1 = ' '; char c2 = ' '; char c3 = ' '; char c4 = ' '; char c5 = ' '; char c6 = ' '; symb = 'F'; perfect = false; >> S<> SEM << w0 = Penalty; if(c0 == 'F') { w0 = PartialBonus; if(p0) { w0 = FullBonus; }} >> S<> SEM << w1 = Penalty; if(c1 == 'F') { w1 = PartialBonus; if(p1) { w1 = FullBonus; }} >> S<> SEM << w2 = Penalty; if(c2 == 'F') { w2 = PartialBonus; if(p2) { w2 = FullBonus; }} >> S<> SEM << w3 = Penalty; if(c3 == 'F') { w3 = PartialBonus; if(p3) { w3 = FullBonus; }} >> S<> SEM << w4 = Penalty; if(c4 == 'F') { w4 = PartialBonus; if(p4) { w4 = FullBonus; }} >> S<> SEM << w5 = Penalty; if(c5 == 'F') { w5 = PartialBonus; if(p5) { w5 = FullBonus; }} >> S<> SEM << w6 = Penalty; if(c6 == 'F') { w6 = PartialBonus; if(p6) { w6 = FullBonus; }} >> SEM << score = w0 * s0 + w1 * s1 + w2 * s2 + w3 * s3 + w4 * s4 + w5 * s5 + w6 * s6; >> SEM << if (c0=='F' && c1=='F' && c2=='F' && c3=='F' && c4=='F' && c5=='F' && c6 == 'F' && p0 && p1 && p2 && p3 && p4 && p5 && p6) { perfect = true; score = CompleteBonus * score; } >> . MAXIMIZE << double score; char symb; bool perfect; S(MaxDepth, out score, out symb, out perfect); return score; >> END RoyalTree.