/** @see java.util.Comparator#compare(java.lang.Object, java.lang.Object) */
public int compare(Object o1, Object o2) {
Chromosome c1 = (Chromosome) o1;
Chromosome c2 = (Chromosome) o2;
int fitness1 = (isSpeciated ? c1.getSpeciatedFitnessValue() : c1.getFitnessValue());
int fitness2 = (isSpeciated ? c2.getSpeciatedFitnessValue() : c2.getFitnessValue());
return isAscending ? fitness1 - fitness2 : fitness2 - fitness1;
}
/**
* @param aChromosome
* @return double adjusted fitness for aChromosome relative to this specie
* @throws IllegalArgumentException if chromosome is not a member if this specie
*/
public double getChromosomeFitnessValue(Chromosome aChromosome) {
if (aChromosome.getFitnessValue() < 0)
throw new IllegalArgumentException(
"chromosome's fitness has not been set: " + aChromosome.toString());
if (chromosomes.contains(aChromosome) == false)
throw new IllegalArgumentException(
"chromosome not a member of this specie: " + aChromosome.toString());
return ((double) aChromosome.getFitnessValue()) / chromosomes.size();
}
/** @return Chromosome fittest in this specie */
public synchronized Chromosome getFittest() {
if (fittest == null) {
Iterator it = chromosomes.iterator();
fittest = (Chromosome) it.next();
while (it.hasNext()) {
Chromosome next = (Chromosome) it.next();
if (next.getFitnessValue() > fittest.getFitnessValue()) fittest = next;
}
}
return fittest;
}
/**
* @return average raw fitness (i.e., not adjusted for specie size) of all chromosomes in specie
*/
public double getFitnessValue() {
long totalRawFitness = 0;
Iterator iter = chromosomes.iterator();
while (iter.hasNext()) {
Chromosome aChromosome = (Chromosome) iter.next();
if (aChromosome.getFitnessValue() < 0)
throw new IllegalStateException(
"chromosome's fitness has not been set: " + aChromosome.toString());
totalRawFitness += aChromosome.getFitnessValue();
}
return (double) totalRawFitness / chromosomes.size();
}
/**
* @return String XML representation of object according to <a
* href="http://nevt.sourceforge.net/">NEVT </a>.
*/
public String toXml() {
StringBuffer result = new StringBuffer();
result.append("<").append(SPECIE_TAG).append(" ").append(ID_TAG).append("=\"");
result.append(getRepresentativeId()).append("\" ").append(COUNT_TAG).append("=\"");
result.append(getChromosomes().size()).append("\">\n");
Iterator chromIter = getChromosomes().iterator();
while (chromIter.hasNext()) {
Chromosome chromToStore = (Chromosome) chromIter.next();
result.append("<").append(CHROMOSOME_TAG).append(" ").append(ID_TAG).append("=\"");
result.append(chromToStore.getId()).append("\" ").append(FITNESS_TAG).append("=\"");
result.append(chromToStore.getFitnessValue()).append("\" />\n");
}
result.append("</").append(SPECIE_TAG).append(">\n");
return result.toString();
}
public static void main(String[] args) throws InvalidConfigurationException {
// Reading data from xml
try {
new InputData().readFromFile(XML_TEST_FILENAME);
} catch (SAXException e) {
System.out.println(e.getMessage());
} catch (IOException e) {
System.out.println(e.getMessage());
} catch (ParserConfigurationException e) {
System.out.println(e.getMessage());
}
// Configuration conf = new DefaultConfiguration();
Configuration conf = new Configuration("myconf");
TimetableFitnessFunction fitnessFunction = new TimetableFitnessFunction();
InitialConstraintChecker timetableConstraintChecker = new InitialConstraintChecker();
// Creating genes
Gene[] testGenes = new Gene[CHROMOSOME_SIZE];
for (int i = 0; i < CHROMOSOME_SIZE; i++) {
testGenes[i] =
new GroupClassTeacherLessonTimeSG(
conf,
new Gene[] {
new GroupGene(conf, 1),
new ClassGene(conf, 1),
new TeacherGene(conf, 1),
new LessonGene(conf, 1),
new TimeGene(conf, 1)
});
}
System.out.println("==================================");
// Creating chromosome
Chromosome testChromosome;
testChromosome = new Chromosome(conf, testGenes);
testChromosome.setConstraintChecker(timetableConstraintChecker);
// Setup configuration
conf.setSampleChromosome(testChromosome);
conf.setPopulationSize(POPULATION_SIZE);
conf.setFitnessFunction(fitnessFunction); // add fitness function
BestChromosomesSelector myBestChromosomesSelector = new BestChromosomesSelector(conf);
conf.addNaturalSelector(myBestChromosomesSelector, false);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
conf.setFitnessEvaluator(new DefaultFitnessEvaluator());
CrossoverOperator myCrossoverOperator = new CrossoverOperator(conf);
conf.addGeneticOperator(myCrossoverOperator);
TimetableMutationOperator myMutationOperator = new TimetableMutationOperator(conf);
conf.addGeneticOperator(myMutationOperator);
conf.setKeepPopulationSizeConstant(false);
// Creating genotype
// Population pop = new Population(conf, testChromosome);
// Genotype population = new Genotype(conf, pop);
Genotype population = Genotype.randomInitialGenotype(conf);
System.out.println("Our Chromosome: \n " + testChromosome.getConfiguration().toString());
System.out.println("------------evolution-----------------------------");
// Begin evolution
Calendar cal = Calendar.getInstance();
start_t = cal.getTimeInMillis();
for (int i = 0; i < MAX_EVOLUTIONS; i++) {
System.out.println(
"generation#: " + i + " population size:" + (Integer) population.getPopulation().size());
if (population.getFittestChromosome().getFitnessValue() >= THRESHOLD) break;
population.evolve();
}
cal = Calendar.getInstance();
finish_t = cal.getTimeInMillis();
System.out.println("--------------end of evolution--------------------");
Chromosome fittestChromosome = (Chromosome) population.getFittestChromosome();
System.out.println(
"-------------The best chromosome---fitness="
+ fittestChromosome.getFitnessValue()
+ "---");
System.out.println(" Group Class Time");
for (int i = 0; i < CHROMOSOME_SIZE; i++) {
GroupClassTeacherLessonTimeSG s =
(GroupClassTeacherLessonTimeSG) fittestChromosome.getGene(i);
System.out.println(
"Gene "
+ i
+ " contains: "
+ (Integer) s.geneAt(GROUP).getAllele()
+ " "
+ (Integer) s.geneAt(CLASS).getAllele()
+ " "
+ (Integer) s.geneAt(TEACHER).getAllele()
+ " "
+ (Integer) s.geneAt(LESSON).getAllele()
+ " "
+ (Integer) s.geneAt(TIME).getAllele());
// GroupGene gg = (GroupGene)s.geneAt(GROUP);
// System.out.println("gg's idGroup"+gg.getAllele()+" gg.getGroupSize()"+ gg.getGroupSize() );
}
System.out.println("Elapsed time:" + (double) (finish_t - start_t) / 1000 + "s");
// Display the best solution
OutputData od = new OutputData();
od.printToConsole(fittestChromosome);
// Write population to the disk
try {
od.printToFile(population, GENOTYPE_FILENAME, BEST_CHROMOSOME_FILENAME);
} catch (IOException e) {
System.out.println("IOException raised! " + e.getMessage());
}
}