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📄 evotsc.java

📁 Java遗传算法库
💻 JAVA
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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.gral.*;
import islandev.IslandsEvolutionServer;import debug.DebugLib;import distrit.*;
import java.util.Vector;import java.rmi.*;import java.io.*;import java.util.ArrayList;

public class EvoTSC implements InteractiveTaskServer
{
    // Configuration constants
    protected final String BENCHMARK_DIR = "/home/mmg20/eh/benchmarks/";
    
    // Working
    protected Vector taskQ = new Vector(), taskQNames = new Vector(), taskQDescr = new Vector();
    protected Vector taskQBestIndID = new Vector(), taskQEffort = new Vector();
    protected String logDir, logFileName;    protected IslandsEvolutionServer ies;    
    
    // Defaults Config Constants
    protected final int IX_LOG_SQL = 0;
    protected final int IX_LOG_TOP = 1;
    protected final int IX_DESCR = 2;
    protected final int IX_BEST_HD = 3;
    protected final int IX_LUT_INS = 4;
    protected final int IX_SPACE_FOR_VOTER = 5;
    protected final int IX_LOCKED = 6;
    protected final int IX_MIGRATION_RATE = 7;
    protected final int IX_MODE = 8;
    protected final int IX_GRAPH_REFRESH_MIN = 9;
    protected final int IX_DUMP_POP_EVERY = 10;
    
    // Configuration
    protected String[] config = new String[ 11 ];
    protected String[] configOption = new String[ 11 ];
    
    // Default setup configuration
    protected void setupConfig()
    {
        config[ IX_LOG_SQL ] = "false";     configOption[ IX_LOG_SQL ] = "logSQL";
        config[ IX_LOG_TOP ] = "false";     configOption[ IX_LOG_TOP ] = "logTop";
        config[ IX_DESCR ] = "Evolving_TSC";configOption[ IX_DESCR ] = "descr";
        config[ IX_BEST_HD ] = "0";         configOption[ IX_BEST_HD ] = "bestHD";
        config[ IX_LUT_INS ] = "2";         configOption[ IX_LUT_INS ] = "lutIns";
        config[ IX_SPACE_FOR_VOTER ] = "true";   configOption[ IX_SPACE_FOR_VOTER ] = "v";
        config[ IX_LOCKED ] = "false";      configOption[ IX_LOCKED ] = "l";
        config[ IX_MIGRATION_RATE ] = "1";  configOption[ IX_MIGRATION_RATE ] = "m";
        config[ IX_MODE ] = "ff";           configOption[ IX_MODE ] = "mode";
        config[ IX_GRAPH_REFRESH_MIN ] = "720";  configOption[ IX_GRAPH_REFRESH_MIN ] = "grm";
        config[ IX_DUMP_POP_EVERY ] = "2000";   configOption[ IX_DUMP_POP_EVERY ] = "popdump";
    }
    
    protected void updateConfig( ArrayList args )
    {   for( int alp = 0; alp < args.size(); alp++ )
        {   
            String withoutFirst = ( ( String ) args.get( alp ) ).substring( 1 );
            int ix = ESLib.equalsIndexOf( withoutFirst, configOption );
            if( ix >= 0 ) config[ ix ] = args.get( ++alp ) + "";
    }   }
    
    protected int getIntConfig( int ix ){   return Integer.parseInt( config[ ix ] );    }
    protected double getDoubleConfig( int ix ){   return Double.parseDouble( config[ ix ] );    }
    protected boolean getBooleanConfig( int ix ){   return config[ ix ].equals( "true" );  }
    
    
    public EvoTSC(ArrayList extraArgs) throws IOException
    {
        logDir = ( String ) extraArgs.get( 0 );
        logFileName = ( String ) extraArgs.get( 1 );
        String benchmarkName = ( String ) extraArgs.get( 2 );
        String dirName = ( String ) extraArgs.get( 3 );
        setupConfig();
        updateConfig( extraArgs );
        
        int LUTInputs = getIntConfig( IX_LUT_INS );
        String descr = config[ IX_DESCR ].replace( '_', ' ' );
        boolean spaceForVoter = getBooleanConfig( IX_SPACE_FOR_VOTER );
        boolean locking = getBooleanConfig( IX_LOCKED );
        int bestHD = getIntConfig( IX_BEST_HD );
        double migrationRate = getDoubleConfig( IX_MIGRATION_RATE );
        String blifFN = BENCHMARK_DIR + benchmarkName + ".blif";
        String sisQFN = BENCHMARK_DIR + benchmarkName;
        if( LUTInputs == 4 )
        {
            sisQFN += "L4";
        }
        sisQFN += ".sout";
        
        if( config[ IX_MODE ].equals( "recurrent" ) )
        {
            oldAddCombBLIFBenchmark( blifFN, sisQFN, dirName, descr, bestHD, LUTInputs, spaceForVoter, locking );
        }else
        {
            addCombBLIFBenchmark( blifFN, sisQFN, dirName, descr, bestHD, LUTInputs, spaceForVoter, locking );
        }
        
        boolean logToDatabase = getBooleanConfig( IX_LOG_SQL );
        boolean logTopology = getBooleanConfig( IX_LOG_TOP );
        ies = new IslandsEvolutionServer( taskQ, taskQNames, logDir, logFileName, migrationRate, logToDatabase, taskQDescr, taskQBestIndID, taskQEffort, logTopology );
    }
    
    
    
    
    // -------------- FROM HERE ON METHODS TO ADD TASKS TO THE QUEUE --------------
    
    
    
    protected void addCM42() throws IOException
    {
        String blifFN = "/home/mmg20/eh/benchmarks/cm42a.blif";
        String sisQFN = "/home/mmg20/eh/benchmarks/cm42a.sout";
        String dirName = "CM42TSC";
        String descr = "Benchmark CM42 (18 gates)";
        int bestHD = 549;
        int LUTInputs = 2;
        boolean spaceForVoter = true;
        boolean locking = false;
        addCombBLIFBenchmark( blifFN, sisQFN, dirName, descr, bestHD, LUTInputs, spaceForVoter, locking );
    }
    

    protected void addBWL4() throws IOException
    {
        String blifFN = "/home/mmg20/eh/benchmarks/bw.blif";
        String sisQFN = "/home/mmg20/eh/benchmarks/bwL4.sout";
        String dirName = "BWL4BPV8";
        String descr = "Locked Benchmark: BW (144 four-input LUTs)";
        int bestHD = 2370;
        int LUTInputs = 4;
        boolean voter = false;
        boolean locking = false;
        addCombBLIFBenchmark( blifFN, sisQFN, dirName, descr, bestHD, LUTInputs, voter, locking );
    }    
    
    protected void addCombBLIFBenchmark( String blifFileName, String sisOutputFileName, String dirName, String descr, int bestIndID ) throws IOException
    {
        int defaultLUTInputs = 2;
        boolean defaultVoter = true;
        boolean defaultLocking = true;
        addCombBLIFBenchmark( blifFileName, sisOutputFileName, dirName, descr, bestIndID, defaultLUTInputs,defaultVoter,defaultLocking );
    }
    
    protected void addCombBLIFBenchmark( String blifFileName, String sisOutputFileName, String dirName, String descr, int bestIndID, int LUTInputs, boolean spaceForVoter, boolean locking ) throws IOException
    {
        final int INPUT_SAMPLE_SEP = 1;    final int SAMPLE_WINDOW_START = 0;
        final int DUMP_POP_EVERY = getIntConfig( IX_DUMP_POP_EVERY );     final int E_LINES = 2;
        final int NO_EVALS = 1;
        final int E_SIZE = INPUT_SAMPLE_SEP - SAMPLE_WINDOW_START;
        final int E_START_AT = SAMPLE_WINDOW_START;
        
        FitnessFunction corrFF = new CorrelationFitnessFunction();
        FitnessFunction tSetupFF = new SampleWindowFitnessFunction( corrFF, SAMPLE_WINDOW_START );
        TestPatternGenerator tpg = new CompleteShuffledTPG();
        CombinationalBLIFExperiment experiment = new CombinationalBLIFExperiment( blifFileName, tSetupFF, tpg );
        
        final boolean FPGA = false;
        SisOutputReader sor = new SisOutputReader( new File( sisOutputFileName ), E_LINES, LUTInputs, FPGA, spaceForVoter );
        FullOrderGenotype seed = new FullOrderGenotype ( sor.getVassilevGenotype() );
        int bitsPerVar = sor.getBitsPerVar();        int usedEls = sor.getTotalEls();
        int nrAddUnits = ( 1 << bitsPerVar ) - experiment.getNumOfInputs();

        int lutSize = 1 << LUTInputs;
        int blockSize = lutSize + LUTInputs * bitsPerVar;
        int qDefSize = ( experiment.getNumOfOutputs() + E_LINES ) * bitsPerVar;
        int genotypeLength = qDefSize + nrAddUnits * blockSize;
        
        
        //ElementDelayModel delayModel = new CoinDelayModel( );
        ElementDelayModel delayModel = new ConstantDelayModel( 0 );
        CircuitMapping inMapping = new LUTAbsoluteMapping( experiment.getNumOfInputs(), experiment.getNumOfOutputs() + E_LINES, bitsPerVar, LUTInputs, delayModel );
        CircuitMapping circuitMapping = new VassilevMapping( inMapping, experiment.getNumOfOutputs() + E_LINES, bitsPerVar );
        int[] inputDefWithinGene = new int[ LUTInputs ];
        for( int il = 0; il < LUTInputs; il++ )
        {
            inputDefWithinGene[ il ] = lutSize + il * bitsPerVar;
        }
        //circuitMapping = new FeedForwardMapping( circuitMapping, bitsPerVar, blockSize, inputDefWithinGene, qDefSize, -1 );
        circuitMapping = new DynamicFeedForwardMapping( circuitMapping, bitsPerVar, blockSize, inputDefWithinGene, qDefSize );
        circuitMapping = new FaultyFeedForwardOptimizedMapping( circuitMapping );
        SimulatorFaultyCircuit circuit = new SimulatorFaultyCircuitAsynchronous( circuitMapping );
        //SimulatorFaultyCircuit circuit = new SimulatorFaultyCircuit( circuitMapping );
        SimulatorDeployment deployment = new SimulatorDeployment( circuit );
        
        SingleFaultModel faultModel = new SingleUsedFaultModel( circuit );

        final int POP_SIZE = 32;   final int NUM_OF_ELITES = 2;
        

        Genotype[] seeds = new Genotype[ POP_SIZE ];
        //seeds[ 0 ] = seed;
        for( int pl = 0; pl < POP_SIZE; pl++ )
        {
            seeds[ pl ] = ( FullOrderGenotype ) seed.clone();
            for( int bl = qDefSize + usedEls * blockSize; bl < seeds[ pl ].length(); bl++ )
                if( Math.random() < 0.5 ) seeds[ pl ].set( bl );
        }
        
        int fixedAlignments = locking ? usedEls : 0;
        int minMutationRate = Math.max( 1, genotypeLength / 500 );
        int maxMutationRate = genotypeLength / 25 + 1;
        // was 1000, 50
        int SAGAFitnessIndex = 1;        int howManyBunches = 1;
        GeneticOperator m = new SAGAMutator( minMutationRate, maxMutationRate, SAGAFitnessIndex, fixedAlignments * blockSize, -1 );
        //ExactGenotypeMutator m = new ExactGenotypeMutator( ( int ) ( genotypeLength / 500 ) + 1 ); // For real biggies
        //m.setRange( fixedAlignments * blockSize, -1 );
        GeneticOperator spxo = new SinglePointXOver();

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