Fix DE/best/2 implementation
Implement DE/best/1
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@ -1,6 +1,6 @@
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package eva2.optimization.enums;
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package eva2.optimization.enums;
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public enum DETypeEnum {
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public enum DETypeEnum {
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DE1_Rand_1, DE2_CurrentToBest, DE_Best_2, TrigonometricDE, DE_CurrentToRand;
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DE1_Rand_1, DE2_CurrentToBest, DE_Best_1, DE_Best_2, TrigonometricDE, DE_CurrentToRand;
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//", "DE2 - DE/current-to-best/1", "DE/best/2", "Trigonometric DE"};
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//", "DE2 - DE/current-to-best/1", "DE/best/2", "Trigonometric DE"};
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}
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}
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@ -360,6 +360,20 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
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}
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}
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break;
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break;
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}
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}
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case DE_Best_1: {
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// DE/best/1
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AbstractEAIndividual bestIndy = getBestIndy(pop);
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oX = getGenotype(bestIndy);
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if (parents != null) {
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parents.add(bestIndy);
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} // Add best instead of preselected
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double[] delta1 = this.fetchDeltaRandom(pop);
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double[] delta2 = this.fetchDeltaRandom(pop);
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for (int i = 0; i < oX.length; i++) {
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vX[i] = oX[i] + this.getCurrentF() * (delta1[i] - delta2[i]);
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}
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break;
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}
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case DE_Best_2: {
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case DE_Best_2: {
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// DE/best/2
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// DE/best/2
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AbstractEAIndividual bestIndy = getBestIndy(pop);
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AbstractEAIndividual bestIndy = getBestIndy(pop);
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@ -369,8 +383,10 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
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} // Add best instead of preselected
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} // Add best instead of preselected
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double[] delta1 = this.fetchDeltaRandom(pop);
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double[] delta1 = this.fetchDeltaRandom(pop);
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double[] delta2 = this.fetchDeltaRandom(pop);
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double[] delta2 = this.fetchDeltaRandom(pop);
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double[] delta3 = this.fetchDeltaRandom(pop);
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double[] delta4 = this.fetchDeltaRandom(pop);
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for (int i = 0; i < oX.length; i++) {
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for (int i = 0; i < oX.length; i++) {
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vX[i] = oX[i] + this.getCurrentF() * (delta1[i] + delta2[i]);
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vX[i] = oX[i] + this.getCurrentF() * (delta1[i] - delta2[i]) + this.getCurrentF() * (delta3[i] - delta4[i]);
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}
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}
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break;
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break;
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}
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}
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