![]() ![]() The higher the value, the moreĬhoosy she is. Specified by: getMinimumDesirability in interface Choosy Returns: a value between 0 and infinity. Public double getMinimumDesirability(double random) Description copied from interface: Choosy Get the choosiness of a female for finding a mate. ![]() Public getIdentifier() Specified by: getIdentifier in interface net.sf.tostring0.Identifiable Returns: (typically) "Choosiness" See Also: Identifiable.getIdentifier() See Also: HasExpressions.getExpressions() The String key for each EvalExpressionMutable is the nameīy which that expression will be known in the user interface. Public ExpressionMap getExpressions() Specified by: getExpressions in interface HasExpressions Returns: a map of String / EvalExpressionMutable pairs. Public Function_Choosy( evaluator) Parameters: evaluator - Method Detail Methods inherited from class Ĭlone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait Function_ĪddListener, addSymbol, equals, evaluate, getErrorInfo, getEvaluator, getExpression, getExpressionMap, getExpressionTerms, getValue, hashCode, isDifferent, isMutable, normalDistributionDensityFunction, normalDistributionDensityFunctionScaled, onFunctionChange, removeVariable, reset, setEvaluator, setExpression, setExpression Get the choosiness of a female for finding a mate. This class implements the Choosy.getMinimumDesirability(double)įunction and allows dynamic varying of the specific formula, by emplying anĬoncrete implementation of Desirable which extends Function_Īnd implements HasExpressions (thus it can be updated graphically atįields inherited from class. Public class Function_Choosy extends Function_ implements Choosy, HasExpressions SUMMARY: NESTED | FIELD | CONSTR | METHODĬom._ .world.Function_Choosy All Implemented Interfaces: Choosy, Function, HasExpressions,, ,, net.sf.tostring0.Identifiable Function_Choosy (Darwin Evolutionary Computation Framework for Java 2.3.01 API) ![]()
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