traceevomany.java~

Java遗传算法库

/*
 * MonicaServer.java
 *
 * Created on 16 April 2001, 17:12
 */

package jaga.pj.circuits.control;

import jaga.control.*;
import jaga.deploy.*;
import jaga.evolve.*;
import jaga.experiment.*;
import jaga.*;

import jaga.pj.circuits.*;
import jaga.pj.circuits.experiment.*;
import jaga.pj.circuits.fpgaft.*;

import jaga.pj.tracing.*;

import islandev.IslandsEvolutionServer;

import debug.DebugLib;

import java.util.Vector;
import java.rmi.*;
import java.io.File;

/**
 *
 * @author  Michael Garvie
 * @version 
 */
public abstract class TraceEvoMany
{
     static Vector taskQ = new Vector();
     static Vector taskQNames = new Vector();
    
    public static void main( String[] args )
    {
        DebugLib.trcLogger.isLogging = true;
        DebugLib.logFileName = "ms-log.txt";
        addTracingFourInput( 0 );
        addTracingFourInput( 1 );
        //addCoTPVarMUX42();
        
        
        try
        {
            IslandsEvolutionServer ms = new IslandsEvolutionServer( "MonicaServer", taskQ, taskQNames, args[ 0 ], 0.5 );
            ms.bindServer();
            //MonicaServer ms = new MonicaServer( "MonicaServer", taskQ, taskQNames, args[ 0 ], 0.5 );
        }catch( java.rmi.RemoteException e )
        {
            System.out.println( e );
        }
        
    }
    
    private static void addTracingFourInput( int id )
    {

        // A - Genetic Algorithms Properties
        // Standard
         final int POP_SIZE = 30;
         final int TP_POP_SIZE = 7;
         final double BIT_MUTATION_PROB = 0.05;
         final int GENOTYPE_MUT = 1;
         final double XOVER_PROB = 0.5;
         final double ALIEN_PROB = 0;
         final double WIRE_SWAP_PROB = 0.7;
         final double MUTATION_PROB = 0.5;
         final int NUM_OF_ELITES = 3;

         final double TP_XOVER_PROB = 0.5;
         final double TP_MUTATION_PROB = 0.5;
         final int TP_NUM_OF_ELITES = 2;

        final double[] TP_RANK_PROBS = { 8d, 4d, 2d, 1d };

        /* 1+1
         final int POP_SIZE = 2;
         final int TP_POP_SIZE = 2;
         final double BIT_MUTATION_PROB = 0.05;
         final int GENOTYPE_MUT = 2;
         final double XOVER_PROB = 0;
         final double MUTATION_PROB = 1;
         final int NUM_OF_ELITES = 1;

         final double TP_XOVER_PROB = 0;
         final double TP_MUTATION_PROB = 1;
         final int TP_NUM_OF_ELITES = 1;

         final double[] RANK_PROBS = { 1d, 0d };
         final double[] TP_RANK_PROBS = { 1d, 0d };
        */
        // D -  Circuit Structure Properties
         final int BITS_PER_VARIABLE = 4;
         final int LUT_INPUTS = 2;

        /* For NANDC
         final int BITS_PER_VARIABLE = 5;
         final int STABILIZERS = 1;
         final int GATE_INPUTS = 2;
        */

        // D - Simulator Properties
         final int SIMULATOR_GATE_DELAY = 1;
         final double T_SETUP = 0.45;
        // final int INPUT_SAMPLE_SEPARATION = 1;

        // E - Experiment Properties
         final int TEST_LENGTH = 50;

        // M - Log Properties
         int DUMP_POP_EVERY = 1;

        // E - EXPERIMENT set up
        //Experiment experiment = new DLatchExperiment( TEST_LENGTH, T_SETUP );
        // Experiment experiment = new EdgeDLExperiment( TEST_LENGTH, T_SETUP );
        // BooleanFunction boolFun = new AndFunction();
        // BooleanFunction boolFun = new ManCarAddFunction();
         BooleanFunction boolFun = new FourInputFunction();
        // BooleanFunction boolFun = new XOrFunction();
        // BooleanFunction boolFun = new MUXFunction( 2 , 4 );
        // BooleanFunction boolFun = new VertorHorizFun();
        // BooleanFunction boolFun = new FLEXToneDetectFun();
         Experiment experiment = new ArbitraryFunctionExperiment( boolFun, T_SETUP );
        // Experiment experiment = new SimpleOscillatorExperiment( 50 );
        // Experiment experiment = new EvenOscillatorExperiment( 400 );
        // Experiment experiment = new FLEXOscillatorExperiment( 5000000 );
        // Experiment experiment = new MultiplierExperiment( 2, T_SETUP );
         Experiment tpexp = new TestPattern4EvolvingExperiment( experiment );

        // D - DEPLOYMENT set up
        // SimulatorCircuit circuit = new SimulatorLUTCircuit( SIMULATOR_GATE_DELAY, BITS_PER_VARIABLE , LUT_INPUTS, experiment.getNumOfInputs(), experiment.getNumOfOutputs() );
         ElementDelayModel delayModel = new ConstantDelayModel( SIMULATOR_GATE_DELAY );
         CircuitMapping circuitMapping = new LUTAbsoluteMapping( experiment.getNumOfInputs(), experiment.getNumOfOutputs(), BITS_PER_VARIABLE, LUT_INPUTS, delayModel );
         SimulatorSimpleCircuit circuit = new SimulatorSimpleCircuit( circuitMapping );
         SimulatorDeployment deployment = new SimulatorDeployment( circuit );

        // FLEXDeployment deployment = new FLEXDeployment( vFileName,  path2Prog, path2MaxPlus, wrkDir, BITS_PER_VARIABLE, STABILIZERS, GATE_INPUTS, experiment.getNumOfInputs(), experiment.getNumOfOutputs(), PORT_ADD );

        // A - Genetic Operators Set up
        /* For CNAND
         int genotypeLength = GATE_INPUTS * STABILIZERS * ( ( 1 << BITS_PER_VARIABLE ) - experiment.getNumOfInputs() ) * ( BITS_PER_VARIABLE + 1 );        
        */
         int genotypeLength = ( ( 1 << BITS_PER_VARIABLE ) - experiment.getNumOfInputs() ) * ( ( 1 << LUT_INPUTS ) + LUT_INPUTS * BITS_PER_VARIABLE );
         int testPatLength = ( 1 << experiment.getNumOfInputs() ) * 2;
         int tpGenLength = testPatLength * experiment.getNumOfInputs();

        TraceableGenotype[] SEEDS = new TraceableGenotype[ POP_SIZE ];
        for( int pl = 0; pl < POP_SIZE; pl++ )
        {
            SEEDS[ pl ] = ( TraceableGenotype ) EvolveLib.randomize( new TraceableGenotype( genotypeLength ) );
        }
        
         //final Genotype SEED0 = new Genotype( "5X6e7R]nn^OmeHUYjQZ9", genotypeLength, 6 );
        // final Genotype SEED1 = new Genotype( "6WS_iRZCj6Y8ELA2eO6ZJ8eMnPDTCdlHHtQFdj95jMhqg7bcFi9PGfu86JVoIpWkQjmvWSX6S[shXWjEjlRQiieI9QV95HvQD6iK\\EHNY\\RKa\\hB5^aF\\3OL9cl3r7r07rdbpQJkrOYaivRCqCK5IWPFM4USapH2mi3_RR2BX[5i^cCfnLZRR]N5t94Ms0iiLfmLuh72feoUuHWV6CHTh[0etY9[[Iv9KTBf`iZZojZteMsirncWvonRShJ0", genotypeLength, 6 );
        // final Genotype SEED2 = new Genotype( "2GS_i17CiQY8ELA2eO6ZJ8eMnPDTC_jrLtUVdjDG8EEQS\\beNi9PKfu87Jjc3jRiaIqH[ALYJsE11WIqSMRIgj04oBe09jKAhLiLaMVU_08qdSQaImCtgaB4cc[3r3raARcfpAJli0jWiJ0kq4Nk0WPF64USqpH2gi3bBKu2]SRe`cCfknjBqEMKTO7Iu5ru1_THNb72V3n6rWD824uaHW0etY9[[Iv9KTBf`gtYM_AhAq6hNldYCEAdb1i0", genotypeLength, 6 );
        // final Genotype[] SEEDS = { SEED0, SEED1, SEED2 };
        // final Genotype[] SEEDS = { SEED0, SEED1 };
        // final Genotype[] SEEDS = { SEED0 };
        // final Genotype[] SEEDS = { };
        // final Genotype SEEDTP0 = new Genotype( "GTJqc5eJgQMpdsQijj^llE^Elf[ov_E2`Vj2rIqt[OpfXsGc4n8U`ZS6UXN1p09D", tpGenLength, 6 );
        // final Genotype SEEDTP1 = new Genotype( "UrFEZ7_gVE9iEslS0dMJ51eg3jq4cDF3ume6b5iTQuS[8cVo9blDXNncTLs[VTG^", tpGenLength, 6 );
        // final Genotype[] TP_SEEDS = { SEEDTP0, SEEDTP1 };
         final Genotype[] TP_SEEDS = { };

        // BitMutator bm = new BitMutator( BIT_MUTATION_PROB );
        // GeneticOperator m = new ExactGenotypeMutator( GENOTYPE_MUT );
        GeneticOperator m = new TracingExactGenotypeMutator( GENOTYPE_MUT );
         //GeneticOperator m = new SAGAMutator( 1, 10 );
         //GeneticOperator m = new AdaptiveMutator( 1, genotypeLength / 5 );
        // GeneticOperator tpm = new AdaptiveMutator( 1, tpGenLength / 5 );
         GeneticOperator tpm = new ExactGenotypeMutator( GENOTYPE_MUT );
        // GeneticOperator ws = new WireSwapper( BITS_PER_VARIABLE, STABILIZERS );
         //GeneticOperator spxo = new SinglePointXOver();
        GeneticOperator spxo = new TracingSinglePointXOver();
         GeneticOperator tpspxo = new SinglePointXOver();

        // Standard
         GeneticOperator[] geneticOps = { m, spxo };
         GeneticOperator[] tpGeneticOps = { tpm, tpspxo };

         double[] opsProbs = { MUTATION_PROB, XOVER_PROB };
         double[] tpOpsProbs = { TP_MUTATION_PROB, TP_XOVER_PROB };