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ABLE, Version 1.1b | |||||||||
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SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--com.ibm.able.beans.AbleGeneticObject | +--com.ibm.able.examples.genetic.TstGeneticFunction3
This class shows an example of optimizing input parameters for neural networks
Field Summary | |
static double |
factor
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Fields inherited from class com.ibm.able.beans.AbleGeneticObject |
chromosome,
chromosomeLength,
chromosomeType,
crossoverRate,
evaluationAgent,
fitness,
fitnessComputed,
member,
mutationRate,
normalizedFitness,
searchAgent,
vocabulary |
Constructor Summary | |
TstGeneticFunction3()
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Method Summary | |
double |
computeFitness()
just add up the number of ones in the chromosome |
double |
getFitness()
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void |
initBean(AbleAgent evalAgent)
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AbleAgent |
initEvaluationAgent()
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Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
wait,
wait,
wait |
Field Detail |
public static final double factor
Constructor Detail |
public TstGeneticFunction3()
Method Detail |
public AbleAgent initEvaluationAgent()
public void initBean(AbleAgent evalAgent)
public double getFitness()
public double computeFitness()
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