ec.simple

Class SimpleEvaluator

java.lang.Object

ec.Evaluator

ec.simple.SimpleEvaluator

All Implemented Interfaces:

Setup, Singleton, java.io.Serializable

Direct Known Subclasses:

DEEvaluator, NSGA2Evaluator, SPEA2Evaluator, SteadyStateEvaluator

public class SimpleEvaluator
extends Evaluator

The SimpleEvaluator is a simple, non-coevolved generational evaluator which evaluates every single member of every subpopulation individually in its own problem space. One Problem instance is cloned from p_problem for each evaluating thread. The Problem must implement SimpleProblemForm.

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Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	C_AUTO
boolean	cloneProblem
static int	MERGE_BEST
static int	MERGE_MEAN
static int	MERGE_MEDIAN
int	mergeForm
int	numTests
static java.lang.String	P_CHUNK_SIZE
static java.lang.String	P_CLONE_PROBLEM
static java.lang.String	P_MERGE
static java.lang.String	P_NUM_TESTS
ThreadPool	pool
static java.lang.String	V_AUTO
static java.lang.String	V_BEST
static java.lang.String	V_MEAN
static java.lang.String	V_MEDIAN

Fields inherited from class ec.Evaluator

masterproblem, P_IAMSLAVE, P_MASTERPROBLEM, p_problem, P_PROBLEM

Constructor Summary

Constructors

Constructor and Description
SimpleEvaluator()

Method Summary

Modifier and Type	Method and Description
void	evaluatePopulation(EvolutionState state) A simple evaluator that doesn't do any coevolutionary evaluation.
boolean	runComplete(EvolutionState state) The SimpleEvaluator determines that a run is complete by asking each individual in each population if he's optimal; if he finds an individual somewhere that's optimal, he signals that the run is complete.
void	setup(EvolutionState state, Parameter base) Sets up the object by reading it from the parameters stored in state, built off of the parameter base base.

Methods inherited from class ec.Evaluator

closeContacts, initializeContacts, reinitializeContacts

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

P_CLONE_PROBLEM

public static final java.lang.String P_CLONE_PROBLEM

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Constant Field Values

P_NUM_TESTS

public static final java.lang.String P_NUM_TESTS

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Constant Field Values

P_MERGE

public static final java.lang.String P_MERGE

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Constant Field Values

V_MEAN

public static final java.lang.String V_MEAN

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Constant Field Values

V_MEDIAN

public static final java.lang.String V_MEDIAN

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Constant Field Values

V_BEST

public static final java.lang.String V_BEST

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Constant Field Values

P_CHUNK_SIZE

public static final java.lang.String P_CHUNK_SIZE

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Constant Field Values

V_AUTO

public static final java.lang.String V_AUTO

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Constant Field Values

MERGE_MEAN

public static final int MERGE_MEAN

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Constant Field Values

MERGE_MEDIAN

public static final int MERGE_MEDIAN

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Constant Field Values

MERGE_BEST

public static final int MERGE_BEST

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Constant Field Values

numTests

public int numTests

mergeForm

public int mergeForm

cloneProblem

public boolean cloneProblem

C_AUTO

public static final int C_AUTO

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Constant Field Values

pool

public ThreadPool pool

Constructor Detail

SimpleEvaluator

public SimpleEvaluator()

Method Detail

setup

public void setup(EvolutionState state,
                  Parameter base)

Description copied from interface: Setup

Sets up the object by reading it from the parameters stored in state, built off of the parameter base base. If an ancestor implements this method, be sure to call super.setup(state,base); before you do anything else.

Specified by:

setup in interface Setup

Overrides:

setup in class Evaluator

evaluatePopulation

public void evaluatePopulation(EvolutionState state)

A simple evaluator that doesn't do any coevolutionary evaluation. Basically it applies evaluation pipelines, one per thread, to various subchunks of a new population.

Specified by:

evaluatePopulation in class Evaluator

runComplete

public boolean runComplete(EvolutionState state)

The SimpleEvaluator determines that a run is complete by asking each individual in each population if he's optimal; if he finds an individual somewhere that's optimal, he signals that the run is complete.

Specified by:

runComplete in class Evaluator