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small clean-up

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Marcel Kronfeld 2007-12-19 16:21:37 +00:00
parent e201eafcb2
commit 4fd97aaeb4
1 changed files with 39 additions and 39 deletions
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78
src/javaeva/server/go/strategies/HillClimbing.java
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@ -22,9 +22,9 @@ import javaeva.server.go.problems.InterfaceOptimizationProblem;
public class HillClimbing implements InterfaceOptimizer, java.io.Serializable { public class HillClimbing implements InterfaceOptimizer, java.io.Serializable {
// These variables are necessary for the simple testcase // These variables are necessary for the simple testcase
private InterfaceOptimizationProblem m_Problem = new B1Problem(); private InterfaceOptimizationProblem m_Problem = new B1Problem();
private int m_MultiRuns = 100; // private int m_MultiRuns = 100;
private int m_FitnessCalls = 100; // private int m_FitnessCalls = 100;
private int m_FitnessCallsNeeded = 0; // private int m_FitnessCallsNeeded = 0;
GAIndividualBinaryData m_Best, m_Test; GAIndividualBinaryData m_Best, m_Test;
// These variables are necessary for the more complex LectureGUI enviroment // These variables are necessary for the more complex LectureGUI enviroment
@ -114,43 +114,43 @@ public class HillClimbing implements InterfaceOptimizer, java.io.Serializable {
return this.m_Problem; return this.m_Problem;
} }
/** This method will init the HillClimber // /** This method will init the HillClimber
*/ // */
public void defaultInit() { // public void defaultInit() {
this.m_FitnessCallsNeeded = 0; // this.m_FitnessCallsNeeded = 0;
this.m_Best = new GAIndividualBinaryData(); // this.m_Best = new GAIndividualBinaryData();
this.m_Best.defaultInit(); // this.m_Best.defaultInit();
} // }
//
// /** This method will optimize
// */
// public void defaultOptimize() {
// for (int i = 0; i < m_FitnessCalls; i++) {
// this.m_Test = (GAIndividualBinaryData)((this.m_Best).clone());
// this.m_Test.defaultMutate();
// if (this.m_Test.defaultEvaulateAsMiniBits() < this.m_Best.defaultEvaulateAsMiniBits()) this.m_Best = this.m_Test;
// this.m_FitnessCallsNeeded = i;
// if (this.m_Best.defaultEvaulateAsMiniBits() == 0) i = this.m_FitnessCalls +1;
// }
// }
/** This method will optimize // /** This main method will start a simple hillclimber.
*/ // * No arguments necessary.
public void defaultOptimize() { // * @param args
for (int i = 0; i < m_FitnessCalls; i++) { // */
this.m_Test = (GAIndividualBinaryData)((this.m_Best).clone()); // public static void main(String[] args) {
this.m_Test.defaultMutate(); // HillClimbing program = new HillClimbing();
if (this.m_Test.defaultEvaulateAsMiniBits() < this.m_Best.defaultEvaulateAsMiniBits()) this.m_Best = this.m_Test; // int TmpMeanCalls = 0, TmpMeanFitness = 0;
this.m_FitnessCallsNeeded = i; // for (int i = 0; i < program.m_MultiRuns; i++) {
if (this.m_Best.defaultEvaulateAsMiniBits() == 0) i = this.m_FitnessCalls +1; // program.defaultInit();
} // program.defaultOptimize();
} // TmpMeanCalls += program.m_FitnessCallsNeeded;
// TmpMeanFitness += program.m_Best.defaultEvaulateAsMiniBits();
/** This main method will start a simple hillclimber. // }
* No arguments necessary. // TmpMeanCalls = TmpMeanCalls/program.m_MultiRuns;
* @param args // TmpMeanFitness = TmpMeanFitness/program.m_MultiRuns;
*/ // System.out.println("("+program.m_MultiRuns+"/"+program.m_FitnessCalls+") Mean Fitness : " + TmpMeanFitness + " Mean Calls needed: " + TmpMeanCalls);
public static void main(String[] args) { // }
HillClimbing program = new HillClimbing();
int TmpMeanCalls = 0, TmpMeanFitness = 0;
for (int i = 0; i < program.m_MultiRuns; i++) {
program.defaultInit();
program.defaultOptimize();
TmpMeanCalls += program.m_FitnessCallsNeeded;
TmpMeanFitness += program.m_Best.defaultEvaulateAsMiniBits();
}
TmpMeanCalls = TmpMeanCalls/program.m_MultiRuns;
TmpMeanFitness = TmpMeanFitness/program.m_MultiRuns;
System.out.println("("+program.m_MultiRuns+"/"+program.m_FitnessCalls+") Mean Fitness : " + TmpMeanFitness + " Mean Calls needed: " + TmpMeanCalls);
}
/** This method allows you to add the LectureGUI as listener to the Optimizer /** This method allows you to add the LectureGUI as listener to the Optimizer
* @param ea * @param ea