public static void main(String[] args) {
System.out.println("SPGA2_forParallel 20060302 Mining Gene Clone Mating with Archive");
int numberOfSubPopulations[] = new int[] {40}; // 10, 20, 30, 40
int popSize[] = new int[] {210}; // 100, 155, 210
int numberOfJob[] = new int[] {35, 50, 65}; // 35, 50, 65
int numberOfMachines[] = new int[] {10, 15, 18}; // 10, 15, 18
int totalSolnsToExamine[] = new int[] {1000000}; // 1000000, 1500000, 2000000
boolean applySecCRX[] = new boolean[] {false}; // false, true
boolean applySecMutation[] = new boolean[] {true};
boolean applyClone[] = new boolean[] {false, true};
int tournamentSize[] = new int[] {10}; // 2, 10
int cloneStrategies[] =
new int[] {2}; // 0: random, 1: swap, 2:inverse, 3:shift, 4:adjacent.0, 1, 2, 3, 4
double timeToClone[] = new double[] {0}; // 0, 0.25, 0.5, 0.75
double crossoverRate = 0.9, mutationRate = 0.1, elitism = 0.2;
int repeatExperiments = 15;
int counter = 0;
/*
for(int i = 0 ; i < repeatExperiments ; i ++ ){
for(int j = 0 ; j < applyClone.length ; j ++ ){
for(int k = 0 ; k < tournamentSize.length ; k ++ ){
for(int r = 0 ; r < numberOfJob.length ; r ++ ){
System.out.println("combinations: "+counter++);
SPGA2_forParallelMachine SPGA2_forParallelMachine1 = new SPGA2_forParallelMachine();
SPGA2_forParallelMachine1.setParallelMachineData(numberOfJob[r], numberOfMachines[r]);
SPGA2_forParallelMachine1.setParameters(numberOfSubPopulations[0], popSize[0],
totalSolnsToExamine[0], crossoverRate, mutationRate, elitism, applySecCRX[0], applySecMutation[0]);
SPGA2_forParallelMachine1.setCloneActive(applyClone[j]);
SPGA2_forParallelMachine1.setTournamentSize(tournamentSize[k]);
SPGA2_forParallelMachine1.initiateVars();
SPGA2_forParallelMachine1.start();
SPGA2_forParallelMachine1 = null;
System.gc();
}
}
}
}// end i
for(int i = 0 ; i < repeatExperiments ; i ++ ){
for(int j = 0 ; j < numberOfJob.length ; j ++ ){
for(int r = 0 ; r < cloneStrategies.length ; r ++ ){
for(int k = 0 ; k < timeToClone.length ; k ++ ){
System.out.println("combinations: "+counter++);
SPGA2_forParallelMachine SPGA2_forParallelMachine1 = new SPGA2_forParallelMachine();
SPGA2_forParallelMachine1.setParallelMachineData(numberOfJob[j], numberOfMachines[j]);
SPGA2_forParallelMachine1.setParameters(numberOfSubPopulations[0], popSize[0],
totalSolnsToExamine[0], crossoverRate, mutationRate, elitism, applySecCRX[0], applySecMutation[0]);
SPGA2_forParallelMachine1.setCloneActive(applyClone[0], cloneStrategies[r]);
SPGA2_forParallelMachine1.setTournamentSize(tournamentSize[0]);
SPGA2_forParallelMachine1.initiateVars();
SPGA2_forParallelMachine1.setTimeToClone(timeToClone[k]);
SPGA2_forParallelMachine1.start();
SPGA2_forParallelMachine1 = null;
System.gc();
}
}
}
}// end i
*/
for (int i = 0; i < repeatExperiments; i++) {
for (int r = 0; r < numberOfJob.length; r++) {
System.out.println("combinations: " + counter++);
SPGA2_forParallelMachine SPGA2_forParallelMachine1 = new SPGA2_forParallelMachine();
SPGA2_forParallelMachine1.setParallelMachineData(numberOfJob[r], numberOfMachines[r]);
SPGA2_forParallelMachine1.setParameters(
numberOfSubPopulations[0],
popSize[0],
totalSolnsToExamine[0],
crossoverRate,
mutationRate,
elitism,
applySecCRX[0],
applySecMutation[0]);
SPGA2_forParallelMachine1.setCloneActive(applyClone[0], 2);
SPGA2_forParallelMachine1.initiateVars();
SPGA2_forParallelMachine1.start();
SPGA2_forParallelMachine1.setTimeToClone(timeToClone[0]);
SPGA2_forParallelMachine1 = null;
System.gc();
} // end r
} // end i
/*
for(int i = 0 ; i < repeatExperiments ; i ++ ){
for(int j = 0 ; j < numberOfSubPopulations.length ; j ++ ){
for(int k = 0 ; k < popSize.length ; k ++ ){
for(int L = 0 ; L < applySecCRX.length ; L ++ ){
for(int m = 0 ; m < applySecMutation.length ; m ++ ){
for(int r = 0 ; r < numberOfJob.length ; r ++ ){
System.out.println(numberOfJob[r]+"\t"+numberOfSubPopulations[j]+"\t"+ popSize[k]);
System.out.println("combinations: "+counter++);
SPGA2_forParallelMachine SPGA2_forParallelMachine1 = new SPGA2_forParallelMachine();
SPGA2_forParallelMachine1.setParallelMachineData(numberOfJob[r], numberOfMachines[r]);
SPGA2_forParallelMachine1.setParameters(numberOfSubPopulations[j], popSize[k],
totalSolnsToExamine[0], crossoverRate, mutationRate, elitism, applySecCRX[L], applySecMutation[m]);
SPGA2_forParallelMachine1.initiateVars();
SPGA2_forParallelMachine1.start();
SPGA2_forParallelMachine1 = null;
System.gc();
//System.exit(0);
}//end r
}//end m
}// end L
}// end k
}// end j
}// end i
*/
System.exit(0);
}
