1 | /* |
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2 | Copyright 2006 by Sean Luke |
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3 | Licensed under the Academic Free License version 3.0 |
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4 | See the file "LICENSE" for more information |
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5 | */ |
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6 | |
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7 | |
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8 | package ec.gp.breed; |
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9 | import ec.*; |
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10 | import ec.util.*; |
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11 | import ec.gp.*; |
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12 | |
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13 | /* |
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14 | * MutateOneNodePipeline.java |
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15 | * |
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16 | * Created: Wed Dec 15 21:41:30 1999 |
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17 | * By: Sean Luke |
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18 | */ |
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19 | |
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20 | /** |
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21 | * MutateOneNodesPipeline implements the OneNode mutation algorithm described |
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22 | * in Kumar Chellapilla, |
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23 | * "A Preliminary Investigation into Evolving Modular Programs without Subtree |
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24 | * Crossover", GP98. |
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25 | * |
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26 | * <p>MutateOneNodesPipeline chooses a single node in an individual and |
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27 | * replaces it with a randomly-chosen node of the same arity and type |
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28 | * constraints. Thus the original topological structure is |
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29 | * the same but that one node is different. |
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30 | * |
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31 | |
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32 | <p><b>Typical Number of Individuals Produced Per <tt>produce(...)</tt> call</b><br> |
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33 | ...as many as the source produces |
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34 | |
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35 | <p><b>Number of Sources</b><br> |
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36 | 1 |
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37 | |
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38 | <p><b>Parameters</b><br> |
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39 | <table> |
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40 | <tr><td valign=top><i>base</i>.<tt>ns</tt>.0<br> |
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41 | <font size=-1>classname, inherits and != GPNodeSelector</font></td> |
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42 | <td valign=top>(GPNodeSelector for tree)</td></tr> |
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43 | |
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44 | <tr><td valign=top><i>base</i>.<tt>tree.0</tt><br> |
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45 | <font size=-1>0 < int < (num trees in individuals), if exists</font></td> |
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46 | <td valign=top>(tree chosen for mutation; if parameter doesn't exist, tree is picked at random)</td></tr> |
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47 | |
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48 | </table> |
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49 | |
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50 | <p><b>Default Base</b><br> |
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51 | gp.breed.mutate-one-node |
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52 | |
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53 | <p><b>Parameter bases</b><br> |
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54 | <table> |
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55 | <tr><td valign=top><i>base</i>.<tt>ns</tt><br> |
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56 | <td>The GPNodeSelector selector</td></tr> |
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57 | </table> |
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58 | |
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59 | * @author Sean Luke |
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60 | * @version 1.0 |
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61 | */ |
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62 | |
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63 | public class MutateOneNodePipeline extends GPBreedingPipeline |
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64 | { |
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65 | public static final String P_MUTATEONENODE = "mutate-one-node"; |
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66 | public static final int NUM_SOURCES = 1; |
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67 | |
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68 | /** How the pipeline chooses a subtree to mutate */ |
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69 | public GPNodeSelector nodeselect; |
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70 | |
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71 | /** Is our tree fixed? If not, this is -1 */ |
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72 | int tree; |
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73 | |
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74 | public Parameter defaultBase() { return GPBreedDefaults.base().push(P_MUTATEONENODE); } |
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75 | |
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76 | public int numSources() { return NUM_SOURCES; } |
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77 | |
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78 | public Object clone() |
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79 | { |
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80 | MutateOneNodePipeline c = (MutateOneNodePipeline)(super.clone()); |
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81 | |
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82 | // deep-cloned stuff |
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83 | c.nodeselect = (GPNodeSelector)(nodeselect.clone()); |
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84 | return c; |
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85 | } |
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86 | |
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87 | public void setup(final EvolutionState state, final Parameter base) |
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88 | { |
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89 | super.setup(state,base); |
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90 | |
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91 | Parameter p = base.push(P_NODESELECTOR).push(""+0); |
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92 | Parameter def = defaultBase(); |
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93 | |
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94 | nodeselect = (GPNodeSelector) |
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95 | (state.parameters.getInstanceForParameter( |
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96 | p,def.push(P_NODESELECTOR).push(""+0),GPNodeSelector.class)); |
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97 | nodeselect.setup(state,p); |
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98 | |
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99 | |
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100 | tree = TREE_UNFIXED; |
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101 | if (state.parameters.exists(base.push(P_TREE).push(""+0), |
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102 | def.push(P_TREE).push(""+0))) |
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103 | { |
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104 | tree = state.parameters.getInt(base.push(P_TREE).push(""+0), |
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105 | def.push(P_TREE).push(""+0),0); |
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106 | if (tree==-1) |
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107 | state.output.fatal("Tree fixed value, if defined, must be >= 0"); |
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108 | } |
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109 | } |
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110 | |
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111 | |
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112 | |
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113 | |
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114 | /** Returns a node which is swap-compatible with returntype, and whose arguments are swap-compatible with the current children of original. You need to clone this node. */ |
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115 | |
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116 | |
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117 | private GPNode pickCompatibleNode(final GPNode original, final GPFunctionSet set, final EvolutionState state, final GPType returntype, final int thread) |
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118 | { |
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119 | // an expensive procedure: we will linearly search for a valid node |
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120 | int numValidNodes = 0; |
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121 | |
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122 | int type = returntype.type; |
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123 | GPInitializer initializer = ((GPInitializer)state.initializer); |
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124 | int len = original.constraints(initializer).childtypes.length; |
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125 | boolean failed; |
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126 | |
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127 | if (initializer.numAtomicTypes + initializer.numSetTypes == 1) // easy |
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128 | numValidNodes = set.nodesByArity[type][len].length; |
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129 | else for(int x=0;x<set.nodesByArity[type][len].length;x++) // ugh, the hard way -- nodes swap-compatible with type, and of arity len |
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130 | { |
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131 | failed = false; |
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132 | for(int y=0;y<set.nodesByArity[type][len][x].constraints(initializer).childtypes.length;y++) |
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133 | if (!set.nodesByArity[type][len][x].constraints(initializer). |
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134 | childtypes[y].compatibleWith(initializer,original.children[y]. |
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135 | constraints(initializer).returntype)) |
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136 | { failed = true; break; } |
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137 | if (!failed) numValidNodes++; |
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138 | } |
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139 | |
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140 | // we must have at least success -- the node itself. Otherwise we're |
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141 | // in deep doo-doo. |
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142 | |
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143 | // now pick a random node number |
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144 | int nodenum = state.random[thread].nextInt(numValidNodes); |
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145 | |
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146 | // find and return that node |
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147 | int prosnode = 0; |
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148 | |
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149 | if (numValidNodes == set.nodesByArity[type][len].length) // easy |
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150 | return set.nodesByArity[type][len][nodenum]; |
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151 | else for(int x=0;x<set.nodesByArity[type][len].length;x++) // ugh, the hard way -- nodes swap-compatible with type, and of arity len |
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152 | { |
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153 | failed = false; |
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154 | for(int y=0;y<set.nodesByArity[type][len][x].constraints(initializer).childtypes.length;y++) |
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155 | if (!set.nodesByArity[type][len][x].constraints(initializer). |
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156 | childtypes[y].compatibleWith(initializer,original.children[y]. |
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157 | constraints(initializer).returntype)) |
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158 | { failed = true; break; } |
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159 | if (!failed) |
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160 | { |
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161 | if (prosnode == nodenum) // got it! |
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162 | return set.nodesByArity[type][len][x]; |
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163 | prosnode++; |
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164 | } |
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165 | } |
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166 | |
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167 | // should never be able to get here |
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168 | throw new InternalError(); // whoops! |
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169 | } |
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170 | |
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171 | |
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172 | public int produce(final int min, |
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173 | final int max, |
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174 | final int start, |
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175 | final int subpopulation, |
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176 | final Individual[] inds, |
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177 | final EvolutionState state, |
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178 | final int thread) |
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179 | { |
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180 | // grab n individuals from our source and stick 'em right into inds. |
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181 | // we'll modify them from there |
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182 | int n = sources[0].produce(min,max,start,subpopulation,inds,state,thread); |
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183 | |
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184 | // should we bother? |
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185 | if (!state.random[thread].nextBoolean(likelihood)) |
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186 | return reproduce(n, start, subpopulation, inds, state, thread, false); // DON'T produce children from source -- we already did |
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187 | |
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188 | |
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189 | GPInitializer initializer = ((GPInitializer)state.initializer); |
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190 | |
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191 | // now let's mutate 'em |
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192 | for(int q=start; q < n+start; q++) |
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193 | { |
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194 | GPIndividual i = (GPIndividual)inds[q]; |
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195 | |
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196 | if (tree!=TREE_UNFIXED && (tree<0 || tree >= i.trees.length)) |
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197 | // uh oh |
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198 | state.output.fatal("MutateOneNodePipeline attempted to fix tree.0 to a value which was out of bounds of the array of the individual's trees. Check the pipeline's fixed tree values -- they may be negative or greater than the number of trees in an individual"); |
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199 | |
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200 | int t; |
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201 | // pick random tree |
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202 | if (tree==TREE_UNFIXED) |
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203 | if (i.trees.length>1) t = state.random[thread].nextInt(i.trees.length); |
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204 | else t = 0; |
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205 | else t = tree; |
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206 | |
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207 | // prepare the nodeselector |
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208 | nodeselect.reset(); |
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209 | |
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210 | // pick a node |
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211 | |
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212 | GPNode p1=null; // the node we pick |
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213 | GPNode p2=null; |
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214 | |
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215 | // pick a node in individual 1 |
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216 | p1 = nodeselect.pickNode(state,subpopulation,thread,i,i.trees[t]); |
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217 | |
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218 | // generate a tree with a new root but the same children, |
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219 | // which we will replace p1 with |
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220 | |
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221 | GPType type; |
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222 | type = p1.parentType(initializer); |
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223 | |
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224 | p2 = (GPNode)(pickCompatibleNode(p1,i.trees[t].constraints(initializer).functionset,state,type,thread)).lightClone(); |
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225 | |
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226 | // if it's an ERC, let it set itself up |
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227 | p2.resetNode(state,thread); |
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228 | |
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229 | // p2's parent and argposition will be set automatically below |
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230 | |
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231 | GPIndividual j; |
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232 | |
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233 | if (sources[0] instanceof BreedingPipeline) |
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234 | // it's already a copy, so just smash the tree in |
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235 | { |
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236 | j=i; |
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237 | p1.replaceWith(p2); |
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238 | j.evaluated = false; |
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239 | } |
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240 | else |
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241 | { |
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242 | j = (GPIndividual)(i.lightClone()); |
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243 | |
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244 | // Fill in various tree information that didn't get filled in there |
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245 | j.trees = new GPTree[i.trees.length]; |
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246 | |
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247 | for(int x=0;x<j.trees.length;x++) |
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248 | { |
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249 | if (x==t) // we've got a tree with a kicking cross position! |
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250 | { |
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251 | j.trees[x] = (GPTree)(i.trees[x].lightClone()); |
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252 | j.trees[x].owner = j; |
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253 | j.trees[x].child = i.trees[x].child.cloneReplacingAtomic(p2,p1); |
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254 | j.trees[x].child.parent = j.trees[x]; |
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255 | j.trees[x].child.argposition = 0; |
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256 | j.evaluated = false; |
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257 | } // it's changed |
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258 | else |
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259 | { |
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260 | j.trees[x] = (GPTree)(i.trees[x].lightClone()); |
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261 | j.trees[x].owner = j; |
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262 | j.trees[x].child = (GPNode)(i.trees[x].child.clone()); |
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263 | j.trees[x].child.parent = j.trees[x]; |
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264 | j.trees[x].child.argposition = 0; |
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265 | } |
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266 | } |
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267 | } |
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268 | |
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269 | // add the new individual, replacing its previous source |
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270 | inds[q] = j; |
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271 | } |
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272 | return n; |
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273 | } |
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274 | } |
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