D:/Projekt/ECF_trunk/examples/COCO/FunctionMinEvalOp.cpp

#include <ecf/ECF.h>
#include "FunctionMinEvalOp.h"

// COCO
#include "./bbob/bbobStructures.h" /* Include all declarations for BBOB calls */
#include <string.h>
extern int enableOutput;


void FunctionMinEvalOp::registerParameters(StateP state)
{
    state->getRegistry()->registerEntry("coco.function", (voidP) (new uint(1)), ECF::UINT,
        "sets the COCO objective function (default: 1)");
    state->getRegistry()->registerEntry("coco.instance", (voidP) (new uint(1)), ECF::UINT,
        "set instance no. for COCO function (default: 1)");
    state->getRegistry()->registerEntry("coco.enableoutput", (voidP) (new uint(0)), ECF::UINT,
        "enable COCO folder output (default: 0/no)");
    state->getRegistry()->registerEntry("coco.folder", (voidP) (new std::string("")), ECF::STRING,
        "sets the COCO output folder (default: none)");
    state->getRegistry()->registerEntry("coco.algorithm", (voidP) (new std::string("")), ECF::STRING,
        "set algorithm name for post processing (default: none)");
    state->getRegistry()->registerEntry("coco.comments", (voidP) (new std::string("")), ECF::STRING,
        "set algorithm description for post processing (default: none)");
}


bool FunctionMinEvalOp::initialize(StateP state)
{
    if(experimentMode_)
        return true;

    // if repeated runs: finalize first
    if(isCocoInitialized_) {
        fgeneric_finalize();
    }

    voidP sptr = state->getRegistry()->getEntry("coco.function"); // get parameter value
    iFunction_ = *((uint*) sptr.get()); // convert from voidP to user defined type

    sptr = state->getRegistry()->getEntry("coco.instance"); // get parameter value
    cocoInstance_ = *((uint*) sptr.get()); // convert from voidP to user defined type

    // read COCO output folder name
    if(state->getRegistry()->isModified("coco.folder")) {
        sptr = state->getRegistry()->getEntry("coco.folder");
        cocoFolder_ = *((std::string*) sptr.get());
    }

    // should COCO output be enabled (if not previously enabled manually)
    if(!enableOutput) {
        sptr = state->getRegistry()->getEntry("coco.enableoutput");
        enableOutput = *((uint*) sptr.get());
    }

    //
    // read genotype dimension from the registry; two options:
    //
    // uncomment the following line when using FloatingPoint genotype:
    sptr = state->getRegistry()->getEntry("FloatingPoint.dimension");
    // uncomment the following line when using Binary genotype:
    //sptr = state->getRegistry()->getEntry("Binary.dimension");

    uint dim = *((uint*) sptr.get());


    //
    // COCO initialization (with excerpts from exampleexperiment.c)
    //

    ParamStruct params = fgeneric_getDefaultPARAMS();
    strcpy(params.dataPath, cocoFolder_.c_str());  /* different folder for each experiment! */

    /* set DIM, funcId, instanceId to initialize BBOB fgeneric */
    params.DIM = dim;
    params.funcId = iFunction_;
    // instanceId is 1 by default
    params.instanceId = cocoInstance_;

    // algorithm name
    sptr = state->getRegistry()->getEntry("coco.algorithm");
    cocoAlgName_ = *((std::string*) sptr.get());
    strcpy(params.algName, cocoAlgName_.c_str());

    // algorithm description
    sptr = state->getRegistry()->getEntry("coco.comments");
    cocoAlgComments_ = *((std::string*) sptr.get());
    strcpy(params.comments, cocoAlgComments_.c_str());

    /* call the BBOB initialization */
    fgeneric_initialize(params);
    // get function optimal value
    coco_optimum_ = fgeneric_ftarget() - params.precision;
    isCocoInitialized_ = true;

    return true;
}


FitnessP FunctionMinEvalOp::evaluate(IndividualP individual)
{
    // evaluation creates a new fitness object using a smart pointer
    // in our case, we try to minimize the function value, so we use FitnessMin fitness (for minimization problems)
    FitnessP fitness (new FitnessMin);

    // we define FloatingPoint as the only genotype (in the configuration file)

    // uncomment the following line when using FloatingPoint genotype:
    FloatingPoint::FloatingPoint* gen = (FloatingPoint::FloatingPoint*) individual->getGenotype().get();
    // (you can also use boost smart pointers:)
    //FloatingPointP gen = boost::dynamic_pointer_cast<FloatingPoint::FloatingPoint> (individual->getGenotype());

    // alternative encoding: Binary Genotype

    // uncomment the following line when using Binary genotype:
    //Binary::Binary* gen = (Binary::Binary*) individual->getGenotype().get();
    //BinaryP gen = boost::dynamic_pointer_cast<Binary::Binary> (individual->getGenotype());

    double value = 0;


    //
    // COCO
    //
    // evaluate
    value = fgeneric_evaluate(&(gen->realValue[0]));
    // scale to zero minimum
    value -= coco_optimum_;

    fitness->setValue(value);
    return fitness;
}