com.rubecula.darwin.domain.world
Class Function_Choosy

java.lang.Object
  com.rubecula.darwin.foundation.Function_
      com.rubecula.darwin.domain.world.Function_Choosy

All Implemented Interfaces:

Choosy, Function, HasExpressions, com.rubecula.jexpression.EvalExpression, com.rubecula.jexpression.EvalExpressionMutable, com.rubecula.jexpression.Valuable, net.sf.tostring0.Identifiable

public class Function_Choosy
extends Function_
implements Choosy, HasExpressions

This class implements the Choosy.getMinimumDesirability(double) function and allows dynamic varying of the specific formula, by emplying an Evaluator. Concrete implementation of Desirable which extends Function_ and implements HasExpressions (thus it can be updated graphically at runtime).

Author:

Robin Hillyard

Field Summary

Fields inherited from class com.rubecula.darwin.foundation.Function_

evaluator, LOG

Constructor Summary

Function_Choosy()

Function_Choosy(com.rubecula.jexpression.Evaluator evaluator)

Method Summary

ExpressionMap	getExpressions()
java.lang.String	getIdentifier()
double	getMinimumDesirability(double random) Get the choosiness of a female for finding a mate.
protected double	standardFunction(java.lang.Object... arguments)
protected java.lang.CharSequence[]	standardFunctionTokens(com.rubecula.jexpression.Notation notation) The standard formula is: e^(random*3.8) TEST

Methods inherited from class com.rubecula.darwin.foundation.Function_

addListener, addSymbol, equals, evaluate, getErrorInfo, getEvaluator, getExpression, getExpressionMap, getExpressionTerms, getValue, hashCode, isDifferent, isMutable, normalDistributionDensityFunction, normalDistributionDensityFunctionScaled, onFunctionChange, removeVariable, reset, setEvaluator, setExpression, setExpression

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.rubecula.jexpression.EvalExpressionMutable

isMutable, setExpression, setExpression

Methods inherited from interface com.rubecula.jexpression.EvalExpression

getExpression, getExpressionTerms

Constructor Detail

Function_Choosy

public Function_Choosy()

Function_Choosy

public Function_Choosy(com.rubecula.jexpression.Evaluator evaluator)

Parameters:

evaluator -

Method Detail

getExpressions

public ExpressionMap getExpressions()

Specified by:

getExpressions in interface HasExpressions

Returns:

a map of String / EvalExpressionMutable pairs. The String key for each EvalExpressionMutable is the name by which that expression will be known in the user interface.

See Also:

HasExpressions.getExpressions()

getIdentifier

public java.lang.String getIdentifier()

Specified by:

getIdentifier in interface net.sf.tostring0.Identifiable

Returns:

(typically) "Choosiness"

See Also:

Identifiable.getIdentifier()

getMinimumDesirability

public double getMinimumDesirability(double random)

Description copied from interface: Choosy

Get the choosiness of a female for finding a mate.

Specified by:

getMinimumDesirability in interface Choosy

Returns:

a value between 0 and infinity. The higher the value, the more choosy she is. A value of 0 means that all males are eligible and a female will never need to look outside the population for a mate.

See Also:

Choosy.getMinimumDesirability(double)

standardFunction

protected double standardFunction(java.lang.Object... arguments)
                           throws FunctionException

Specified by:

standardFunction in class Function_

Parameters:

arguments - a variable set of Objects which must be passed to the actual implemented version of Function_.standardFunction(Object...).

Returns:

the standard value for this function. This is called when Function_.isDifferent() returns false.

Throws:

FunctionException - XXX

See Also:

Function_.standardFunction(java.lang.Object[])

standardFunctionTokens

protected java.lang.CharSequence[] standardFunctionTokens(com.rubecula.jexpression.Notation notation)

The standard formula is: e^(random*3.8) TEST

Specified by:

standardFunctionTokens in class Function_

Parameters:

notation - the notation type used by the evaluator.

Returns:

the sequence of tokens that corresponds to the Function_.standardFunction(Object...). This is called by Function_.reset().

See Also:

Function_.standardFunctionTokens(Notation)