CLeanup
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		| @@ -8,6 +8,7 @@ import eva2.optimization.population.SolutionSet; | ||||
| import eva2.problems.InterfaceOptimizationProblem; | ||||
| import eva2.tools.math.RNG; | ||||
| import eva2.util.annotation.Description; | ||||
| import eva2.util.annotation.Parameter; | ||||
|  | ||||
| /** | ||||
|  * Simulated Annealing by Nelder and Mead, a simple yet efficient local search | ||||
| @@ -75,12 +76,10 @@ public class SimulatedAnnealing extends AbstractOptimizer implements java.io.Ser | ||||
|      */ | ||||
|     @Override | ||||
|     public void optimize() { | ||||
|         AbstractEAIndividual indy; | ||||
|         Population original = (Population) this.population.clone(); | ||||
|         double delta; | ||||
|  | ||||
|         for (int i = 0; i < this.population.size(); i++) { | ||||
|             indy = this.population.get(i); | ||||
|         for (AbstractEAIndividual indy : this.population) { | ||||
|             double tmpD = indy.getMutationProbability(); | ||||
|             indy.setMutationProbability(1.0); | ||||
|             indy.mutate(); | ||||
| @@ -93,7 +92,6 @@ public class SimulatedAnnealing extends AbstractOptimizer implements java.io.Ser | ||||
|                 this.population.add(i, original.get(i)); | ||||
|             } else { | ||||
|                 delta = this.calculateDelta(original.get(i), this.population.get(i)); | ||||
|                 //System.out.println("delta: " + delta); | ||||
|                 if (Math.exp(-delta / this.currentTemperature) > RNG.randomInt(0, 1)) { | ||||
|                     this.population.remove(i); | ||||
|                     this.population.add(i, original.get(i)); | ||||
| @@ -212,16 +210,13 @@ public class SimulatedAnnealing extends AbstractOptimizer implements java.io.Ser | ||||
|         return this.initialTemperature; | ||||
|     } | ||||
|  | ||||
|     @Parameter(description = "Set the initial temperature.") | ||||
|     public void setInitialTemperature(double pop) { | ||||
|         this.initialTemperature = pop; | ||||
|     } | ||||
|  | ||||
|     public String initialTemperatureTipText() { | ||||
|         return "Set the initial temperature."; | ||||
|     } | ||||
|  | ||||
|     /** | ||||
|      * Set alpha, which is used to degrade the temperaure | ||||
|      * Set alpha, which is used to degrade the temperature | ||||
|      * | ||||
|      * @return The cooling rate. | ||||
|      */ | ||||
| @@ -229,14 +224,11 @@ public class SimulatedAnnealing extends AbstractOptimizer implements java.io.Ser | ||||
|         return this.alpha; | ||||
|     } | ||||
|  | ||||
|     @Parameter(description = "Set alpha, which is used to degrade the temperature.") | ||||
|     public void setAlpha(double a) { | ||||
|         this.alpha = a; | ||||
|         if (this.alpha > 1) { | ||||
|             this.alpha = 1.0; | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     public String alphaTipText() { | ||||
|         return "Set alpha, which is used to degrade the temperaure."; | ||||
|     } | ||||
| } | ||||
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