public void testToString() throws IOException {
out = new BufferedWriter(new FileWriter(CONFIG));
startConfig();
endConfig();
Path fileResource = new Path(CONFIG);
conf.addResource(fileResource);
String expectedOutput =
"Configuration: core-default.xml, core-site.xml, " + fileResource.toString();
assertEquals(expectedOutput, conf.toString());
}
/*
* Broadcast local configuration to others over the network.
* @return true if broadcast successful, false if failed.
*/
public static boolean doBroadcast(String releaseVersion, Configuration config, long publishTime) {
boolean taskSuccess = true;
_log.debug("{} - broadcasting cluster configuration {}", config.getNodeId(), config.toString());
try {
MulticastUtil.create(config.getHwConfig().get(PropertyConstants.PROPERTY_KEY_NETIF))
.publish(releaseVersion, config.getNodeId(), config.getConfigMap(), publishTime);
} catch (IOException e) {
taskSuccess = false;
_log.error("broadcast configuration caught exception with: " + e.getMessage());
} finally {
_log.info(
"broadcast configuration via {} for {} is done",
config.getHwConfig().get(PropertyConstants.PROPERTY_KEY_NETIF),
config.getScenario());
}
return taskSuccess;
}
public static void main(String[] args) {
Funid funid = new Funid();
int executionTimes = 10;
System.out.println("Start");
// Map<String, List<GeneticApplication>> applicationMap = new
// HashMap<String, List<GeneticApplication>>();
// List<GeneticApplication> applications;
List<Configuration> configurations = Configuration.getBasicsConfigurations();
try {
for (Configuration config : configurations) {
System.out.println(config.toString());
System.out.println("Algo 1");
System.out.println("Execucao;Melhor;Gen. Enc.;Med. P. Ini; Med. P. Fin.;Razao;Tempo");
for (int i = 0; i < executionTimes; i++) {
funid.setPopulationSize(config.getPopulationSize());
System.out.print((i + 1) + ";");
GeneticParameters params =
new GeneticParameters(
config.getCrossoverRate(),
config.getMutationRate(),
config.getPopulationSize(),
config.getMaxGeneration(),
MAXIMIZE,
new Elitism(),
new OnePointCrosserOver(),
new RoulleteSelector(MAXIMIZE),
new InversionMutator(),
funid);
new GeneticApplication(funid.getInitialPopulation()).setParams(params).execute();
}
System.out.println(config.toString());
System.out.println("Algo 2");
System.out.println("Execucao;Melhor;Gen. Enc.;Med. P. Ini; Med. P. Fin.;Razao;Tempo");
for (int i = 0; i < executionTimes; i++) {
System.out.print((i + 1) + ";");
GeneticParameters params =
new GeneticParameters(
config.getCrossoverRate(),
config.getMutationRate(),
config.getPopulationSize(),
config.getMaxGeneration(),
MAXIMIZE,
new Generational(),
new TwoPointsCrosserOver(),
new RoulleteSelector(MAXIMIZE),
new InversionMutator(),
funid);
new GeneticApplication(funid.getInitialPopulation()).setParams(params).execute();
}
}
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* @throws Exception
* @author Klaus Meffert
* @since 2.6
*/
public void testToString_1() throws Exception {
Configuration conf = new ConfigurationForTesting();
conf.getGeneticOperators().clear();
conf.getNaturalSelectors(false).clear();
conf.getNaturalSelectors(true).clear();
privateAccessor.setField(conf, "m_eventManager", null);
String s = trimString(conf.toString());
String eventmgr = conf.S_NONE;
String genops = conf.S_NONE;
// natural selectors (pre)
String natselsPre = conf.S_NONE;
// natural selectors (post)
String natselsPost = conf.S_NONE;
assertEquals(
trimString(
conf.S_CONFIGURATION
+ ":"
+ conf.S_CONFIGURATION_NAME
+ ":"
+ conf.getName()
+ " "
+ conf.S_POPULATION_SIZE
+ ":"
+ conf.getPopulationSize()
+ " "
+ conf.S_MINPOPSIZE
+ ":"
+ conf.getMinimumPopSizePercent()
+ " "
+ conf.S_CHROMOSOME_SIZE
+ ":"
+ conf.getChromosomeSize()
+ " "
+ conf.S_SAMPLE_CHROM
+ ":"
+ conf.S_SIZE
+ ":"
+ conf.getSampleChromosome().size()
+ " "
+ conf.S_TOSTRING
+ ":"
+ conf.getSampleChromosome().toString()
+ " "
+ conf.S_RANDOM_GENERATOR
+ ":"
+ conf.getRandomGenerator().getClass().getName()
+ " "
+ conf.S_EVENT_MANAGER
+ ":"
+ eventmgr
+ " "
+ conf.S_CONFIGURATION_HANDLER
+ ":"
+ conf.getConfigurationHandler().getName()
+ " "
+ conf.S_FITNESS_FUNCTION
+ ":"
+ conf.getFitnessFunction().getClass().getName()
+ " "
+ conf.S_FITNESS_EVALUATOR
+ ":"
+ conf.getFitnessEvaluator().getClass().getName()
+ " "
+ conf.S_GENETIC_OPERATORS
+ ":"
+ genops
+ " "
+ conf.S_NATURAL_SELECTORS
+ "("
+ conf.S_PRE
+ ")"
+ ":"
+ natselsPre
+ " "
+ conf.S_NATURAL_SELECTORS
+ "("
+ conf.S_POST
+ ")"
+ ":"
+ natselsPost
+ " "
// + conf.S_POPCONSTANT_SELECTOR + ":"
// + "null" + " "
),
s);
}
/**
* @throws Exception
* @author Klaus Meffert
* @since 2.4
*/
public void testToString_0() throws Exception {
Configuration conf = new ConfigurationForTesting();
conf.addGeneticOperator(new MutationOperator(conf));
conf.addNaturalSelector(new WeightedRouletteSelector(conf), true);
conf.addNaturalSelector(new WeightedRouletteSelector(conf), false);
conf.addNaturalSelector(new BestChromosomesSelector(conf), false);
String s = trimString(conf.toString());
String eventmgr =
conf.getEventManager() != null ? conf.getEventManager().getClass().getName() : conf.S_NONE;
String genops = "";
if (conf.getGeneticOperators().size() < 1) {
genops = conf.S_NONE;
} else {
for (int i = 0; i < conf.getGeneticOperators().size(); i++) {
if (i > 0) {
genops += "; ";
}
genops += conf.getGeneticOperators().get(i).getClass().getName();
;
}
}
// natural selectors (pre)
String natselsPre = "";
int natsize = conf.getNaturalSelectors(true).size();
if (natsize < 1) {
natselsPre = conf.S_NONE;
} else {
for (int i = 0; i < natsize; i++) {
if (i > 0) {
natselsPre += "; ";
}
natselsPre += " " + conf.getNaturalSelectors(true).get(i).getClass().getName();
}
}
// natural selectors (post)
String natselsPost = "";
natsize = conf.getNaturalSelectors(false).size();
if (natsize < 1) {
natselsPost = conf.S_NONE;
} else {
for (int i = 0; i < natsize; i++) {
if (i > 0) {
natselsPost += "; ";
}
natselsPost += " " + conf.getNaturalSelectors(false).get(i).getClass().getName();
}
}
assertEquals(
trimString(
conf.S_CONFIGURATION
+ ":"
+ conf.S_CONFIGURATION_NAME
+ ":"
+ conf.getName()
+ " "
+ conf.S_POPULATION_SIZE
+ ":"
+ conf.getPopulationSize()
+ " "
+ conf.S_MINPOPSIZE
+ ":"
+ conf.getMinimumPopSizePercent()
+ " "
+ conf.S_CHROMOSOME_SIZE
+ ":"
+ conf.getChromosomeSize()
+ " "
+ conf.S_SAMPLE_CHROM
+ ":"
+ conf.S_SIZE
+ ":"
+ conf.getSampleChromosome().size()
+ " "
+ conf.S_TOSTRING
+ ":"
+ conf.getSampleChromosome().toString()
+ " "
+ conf.S_RANDOM_GENERATOR
+ ":"
+ conf.getRandomGenerator().getClass().getName()
+ " "
+ conf.S_EVENT_MANAGER
+ ":"
+ eventmgr
+ " "
+ conf.S_CONFIGURATION_HANDLER
+ ":"
+ conf.getConfigurationHandler().getName()
+ " "
+ conf.S_FITNESS_FUNCTION
+ ":"
+ conf.getFitnessFunction().getClass().getName()
+ " "
+ conf.S_FITNESS_EVALUATOR
+ ":"
+ conf.getFitnessEvaluator().getClass().getName()
+ " "
+ conf.S_GENETIC_OPERATORS
+ ":"
+ genops
+ " "
+ conf.S_NATURAL_SELECTORS
+ "("
+ conf.S_PRE
+ ")"
+ ":"
+ natselsPre
+ " "
+ conf.S_NATURAL_SELECTORS
+ "("
+ conf.S_POST
+ ")"
+ ":"
+ natselsPost
+ " "
// + conf.S_POPCONSTANT_SELECTOR + ":"
// + "null" + " "
),
s);
}