public void initiateVars() {
GaMain =
new singleThreadGAwithEDA(); // singleThreadGA singleThreadGAwithSecondFront
// singleThreadGAwithMultipleCrossover adaptiveGA
Population = new population();
Selection = new binaryTournament(); // binaryTournament
Crossover =
new twoPointCrossover2EDA(); // twoPointCrossover2 oneByOneChromosomeCrossover
// twoPointCrossover2withAdpative
// twoPointCrossover2withAdpativeThreshold
Mutation =
new swapMutationEDA(); // shiftMutation shiftMutationWithAdaptive
// shiftMutationWithAdaptiveThreshold
ObjectiveFunction = new ObjectiveFunctionTSPI[numberOfObjs];
ObjectiveFunction[0] = new ObjectiveFunctionMTSPHeu();
Fitness = new singleObjectiveFitness();
objectiveMinimization = new boolean[numberOfObjs];
objectiveMinimization[0] = true;
encodeType = true;
if (numberOfSalesmen >= length) {
System.out.println(
"The number of salesmen is "
+ numberOfSalesmen
+ ", which should be greater than the number of visiting locations.");
System.out.println("The program will exit.");
System.exit(0);
}
localSearch1 = new localSearchBy2OptForMTSP();
// localSearch1.setMTSPData(Population, distanceMatrix, numberOfSalesmen);
ObjectiveFunction[0].setTSPData(originalPoint, coordinates, numberOfSalesmen);
ObjectiveFunction[0].setObjectiveFunctionType("TotalDistance");
// set the data to the GA main program.
GaMain.setData(
Population,
Selection,
Crossover,
Mutation,
ObjectiveFunction,
Fitness,
DEFAULT_generations,
DEFAULT_PopSize,
DEFAULT_PopSize,
length,
DEFAULT_crossoverRate,
DEFAULT_mutationRate,
objectiveMinimization,
numberOfObjs,
encodeType,
elitism);
GaMain.setLocalSearchOperator(localSearch1, applyLocalSearch, 20);
GaMain.setSecondaryCrossoverOperator(Crossover2, false);
GaMain.setSecondaryMutationOperator(Mutation2, false);
GaMain.setEDAinfo(
lamda, numberOfCrossoverTournament, numberOfMutationTournament, startingGenDividen);
}
/**
* For single objective problem
*
* @param arch1
* @return
*/
public int getBestSolnIndex(populationI arch1) {
int index = 0;
double bestobj = Double.MAX_VALUE;
for (int k = 0; k < GaMain.getArchieve().getPopulationSize(); k++) {
if (bestobj > GaMain.getArchieve().getObjectiveValues(k)[0]) {
bestobj = GaMain.getArchieve().getObjectiveValues(k)[0];
index = k;
}
}
return index;
}
public void startMain() {
openga.util.timeClock timeClock1 = new openga.util.timeClock();
timeClock1.start();
GaMain.startGA();
timeClock1.end();
// to output the implementation result.
String implementResult = "";
int bestInd = getBestSolnIndex(GaMain.getArchieve());
implementResult =
instanceName
+ "\t"
+ DEFAULT_crossoverRate
+ "\t"
+ DEFAULT_mutationRate
+ "\t"
+ lamda
+ "\t"
+ (length + 1)
+ "\t"
+ numberOfSalesmen
+ "\t"
+ startingGenDividen
+ "\t"
+ numberOfCrossoverTournament
+ "\t"
+ numberOfMutationTournament
+ "\t"
+ startingGenDividen
+ "\t"
+ GaMain.getArchieve().getSingleChromosome(bestInd).getObjValue()[0]
+ "\t"
+ timeClock1.getExecutionTime() / 1000.0
+ "\n"; // +"\t"+GaMain.getArchieve().getSingleChromosome(0).toString1()
writeFile("mTSPEDA_20150731DOE_totalDistance", implementResult);
System.out.print(implementResult);
}
