public void start() {
System.out.println();
openga.util.timeClock timeClock1 = new openga.util.timeClock();
timeClock1.start();
GaMain.startGA();
timeClock1.end();
// System.out.println("\nThe final result");
int bestInd = getBestSolnIndex(GaMain.getArchieve());
System.out.println(GaMain.getArchieve().getSingleChromosome(bestInd).toString1());
String implementationResult = "";
implementationResult +=
fileName
+ "\t"
+ numberOfJob
+ "\t"
+ DEFAULT_crossoverRate
+ "\t"
+ DEFAULT_mutationRate
+ "\t"
+ DEFAULT_PopSize
+ "\t"
+ GaMain.getArchieve().getSingleChromosome(bestInd).getObjValue()[0]
+ "\t"
+ timeClock1.getExecutionTime() / 1000.0
+ "\n";
// implementationResult += fileName + "\t" + evaporationMethod + "\t" +
// GaMain.getArchieve().getSingleChromosome(bestInd).getObjValue()[0] + "\t" +
// timeClock1.getExecutionTime() / 1000.0 + "\n";
// implementationResult += fileName+"\t"+numberOfJob+"\t"+startingGeneration+"\t"+interval+"\t"+
// GaMain.getArchieve().getSingleChromosome(bestInd).getObjValue()[0]+"\t"+timeClock1.getExecutionTime()/1000.0+"\n";
writeFile("SingleMachine_PREDA1002", implementationResult);
System.out.println(implementationResult);
}
public void start() {
openga.util.timeClock timeClock1 = new openga.util.timeClock();
timeClock1.start();
// we control the number of iteration of GA here.
for (int m = 0; m < DEFAULT_generations; m++) {
// System.out.println(m);
if (m == timeToClone * DEFAULT_generations) {
// To clone solution
for (int k = 0; k < numberOfSubPopulations; k++) {
GaMain[k].setCloneOperatpr(clone1, applyClone);
}
}
for (int i = 0; i < numberOfSubPopulations; i++) {
if (m == 0) { // initial each population and its objective values.
GaMain[i].InitialRun();
if (i == 0) {
GaMain[i].initFirstArchieve();
}
}
// start the GA processes.
GaMain[i].startGA();
}
}
timeClock1.end();
// System.out.println(timeClock1.getExecutionTime());
// to output the implementation result.
String implementResult = "";
double refSet[][] = getReferenceSet();
double objArray[][] = GaMain[0].getArchieveObjectiveValueArray();
double D1r = calcSolutionQuality(refSet, objArray);
implementResult =
numberOfJob
+ "\t"
+ 1
+ "\t"
+ 1
+ "\t"
+ D1r
+ "\t"
+ timeClock1.getExecutionTime() / 1000
+ "\n";
objArray = null;
writeFile("SPGA2_forParallel 20060302 Mining Gene Clone Mating with Archive", implementResult);
System.out.println(implementResult);
/*
implementResult = "";
for(int k = 0 ; k < GaMain[0].getArchieve().getPopulationSize() ; k ++ ){
implementResult += GaMain[0].getArchieve().getSingleChromosome(k).toString1()+"\t";//sequnence
for(int j = 0 ; j < numberOfObjs ; j ++ ){//for each objectives
implementResult += GaMain[0].getArchieve().getObjectiveValues(k)[j]+"\t";
}
implementResult += "\n";
}
//writeFile("SPGA2_forParallelMachineParetoSet"+System.currentTimeMillis(), implementResult);
*/
for (int i = 0; i < numberOfSubPopulations; i++) {
GaMain[i].destroidArchive();
GaMain[i] = null;
}
}
