/**
* @throws Exception
* @author Klaus Meffert
* @since 3.0
*/
public void testSetEventManager_2() throws Exception {
Configuration conf = new Configuration();
conf.setEventManager(new EventManager());
try {
conf.setEventManager(new TestEventManager());
fail();
} catch (RuntimeException rex) {; // this is OK
}
}
/**
* @throws Exception
* @author Klaus Meffert
*/
public void testGetter_0() throws Exception {
Configuration conf = new Configuration();
Genotype.setStaticConfiguration(conf);
assertEquals(false, conf.isLocked());
FitnessFunction fitFunc = new StaticFitnessFunction(2);
conf.setFitnessFunction(fitFunc);
Gene gene = new BooleanGene(conf);
Chromosome sample = new Chromosome(conf, gene, 55);
conf.setSampleChromosome(sample);
NaturalSelector natSel = new WeightedRouletteSelector();
conf.addNaturalSelector(natSel, false);
RandomGenerator randGen = new StockRandomGenerator();
conf.setRandomGenerator(randGen);
IEventManager evMan = new EventManager();
conf.setEventManager(evMan);
GeneticOperator mutOp = new MutationOperator(conf);
conf.addGeneticOperator(mutOp);
GeneticOperator croOp = new CrossoverOperator(conf);
conf.addGeneticOperator(croOp);
conf.setPopulationSize(7);
assertEquals(fitFunc, conf.getFitnessFunction());
assertEquals(natSel, conf.getNaturalSelectors(false).get(0));
assertEquals(randGen, conf.getRandomGenerator());
assertEquals(sample, conf.getSampleChromosome());
assertEquals(evMan, conf.getEventManager());
assertEquals(7, conf.getPopulationSize());
assertEquals(2, conf.getGeneticOperators().size());
assertEquals(mutOp, conf.getGeneticOperators().get(0));
assertEquals(croOp, conf.getGeneticOperators().get(1));
}
/** @author Klaus Meffert */
public void testSetEventManager_0() {
Configuration conf = new Configuration();
try {
conf.setEventManager(null);
fail();
} catch (InvalidConfigurationException invex) {; // this is OK
}
}
public void run() {
Configuration conf = new Configuration();
try {
conf.setEventManager(new EventManager());
Thread.sleep(100);
} catch (Exception ex) {
ex.printStackTrace();
}
}
/**
* @throws Exception
* @author Klaus Meffert
*/
public void testVerifyStateIsValid_6() throws Exception {
Configuration conf = new Configuration();
assertEquals(false, conf.isLocked());
conf.setFitnessFunction(new StaticFitnessFunction(2));
Gene gene = new BooleanGene(conf);
conf.setSampleChromosome(new Chromosome(conf, gene, 5));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), true);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
conf.setFitnessEvaluator(new DefaultFitnessEvaluator());
conf.addGeneticOperator(new MutationOperator(conf));
conf.setPopulationSize(1);
conf.verifyStateIsValid();
}
/**
* @throws Exception
* @author Klaus Meffert
*/
public void testVerifyStateIsValid_4() throws Exception {
Configuration conf = new Configuration();
assertEquals(false, conf.isLocked());
conf.setFitnessFunction(new StaticFitnessFunction(2));
Gene gene = new BooleanGene(conf);
conf.setSampleChromosome(new Chromosome(conf, gene, 5));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), false);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
try {
conf.verifyStateIsValid();
fail();
} catch (InvalidConfigurationException invex) {; // this is OK
}
}
/**
* @throws Exception
* @author Klaus Meffert
*/
public void testVerifyStateIsValid_7() throws Exception {
Configuration conf = new Configuration();
assertEquals(false, conf.isLocked());
conf.setFitnessFunction(new StaticFitnessFunction(2));
Gene gene = new BooleanGene(conf);
conf.setSampleChromosome(new Chromosome(conf, gene, 5));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), true);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
conf.addGeneticOperator(new MutationOperator(conf));
conf.setPopulationSize(1);
try {
conf.verifyStateIsValid();
fail();
} catch (IllegalArgumentException illex) {; // this is OK
}
}
/**
* Cloning multiple times in a row must be possible.
*
* @throws Exception
* @author Klaus Meffert
* @since 3.2
*/
public void testClone_1() throws Exception {
Configuration conf = new Configuration();
conf.setFitnessFunction(new StaticFitnessFunction(2));
Gene gene = new BooleanGene(conf);
conf.setSampleChromosome(new Chromosome(conf, gene, 5));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), true);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
conf.setFitnessEvaluator(new DefaultFitnessEvaluator());
conf.addGeneticOperator(new MutationOperator(conf));
conf.setPopulationSize(1);
Configuration theClone1 = (Configuration) conf.clone();
Configuration theClone2 = (Configuration) conf.clone();
assertEquals(conf, theClone1);
assertEquals(conf, theClone2);
assertEquals(theClone1, theClone2);
}
/**
* Clone after settings locked.
*
* @throws Exception
* @author Klaus Meffert
* @since 3.2
*/
public void testClone_2() throws Exception {
Configuration conf = new Configuration();
conf.setFitnessFunction(new StaticFitnessFunction(2));
Gene gene = new BooleanGene(conf);
conf.setSampleChromosome(new Chromosome(conf, gene, 5));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), true);
conf.setRandomGenerator(new StockRandomGenerator());
conf.setEventManager(new EventManager());
conf.setFitnessEvaluator(new DefaultFitnessEvaluator());
conf.addGeneticOperator(new MutationOperator(conf));
conf.addGeneticOperator(new CrossoverOperator(conf, 2));
conf.setPopulationSize(1);
conf.lockSettings();
Configuration theClone = (Configuration) conf.clone();
assertEquals(conf, theClone);
assertEquals(2, theClone.getGeneticOperators().size());
assertEquals(MutationOperator.class, theClone.getGeneticOperators().get(0).getClass());
assertEquals(CrossoverOperator.class, theClone.getGeneticOperators().get(1).getClass());
}
/**
* @throws Exception
* @author Klaus Meffert
*/
public void testLock_1() throws Exception {
Configuration conf = new Configuration();
conf.setFitnessFunction(new TestFitnessFunction());
Gene gene = new BooleanGene(conf);
Chromosome sample = new Chromosome(conf, gene, 55);
conf.setSampleChromosome(sample);
conf.addNaturalSelector(new WeightedRouletteSelector(conf), false);
conf.setRandomGenerator(new GaussianRandomGenerator());
conf.setEventManager(new EventManager());
conf.setFitnessEvaluator(new DefaultFitnessEvaluator());
conf.addGeneticOperator(new MutationOperator(conf));
conf.setPopulationSize(1);
conf.lockSettings();
assertEquals(true, conf.isLocked());
try {
conf.verifyChangesAllowed();
fail();
} catch (InvalidConfigurationException invex) {; // this is OK
}
}
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());
}
}
/**
* @throws Exception
* @author Klaus Meffert
* @since 3.0
*/
public void testSetEventManager_1() throws Exception {
Configuration conf = new Configuration();
conf.setEventManager(new EventManager());
conf.setEventManager(new EventManager());
}