D:/Projekt/ECF_trunk/examples/GPArtificialAnt/main.cpp

#include <ecf/ECF.h>
#include "AntEvalOp.h"
#include "Prog2.h"
#include "Prog3.h"
#include "TurnLeft.h"
#include "IfFoodAhead.h"
#include "TurnRight.h"
#include "MoveAhead.h"
#include <iostream>
#include <fstream>
#include <string.h>


int main(int argc, char **argv)
{
    StateP state (new State);

    // crate evaluation operator
    state->setEvalOp(new AntEvalOp);
    
    // create tree genotype
    TreeP tree (new Tree::Tree);
    
    // create new functions and add them to function set 
    Tree::PrimitiveP ifa (new IfFoodAhead);
    tree->addFunction(ifa);
    Tree::PrimitiveP prog2 (new Prog2);
    tree->addFunction(prog2);
    Tree::PrimitiveP prog3 (new Prog3);
    tree->addFunction(prog3);
    Tree::PrimitiveP tl (new TurnLeft);
    tree->addTerminal(tl);
    Tree::PrimitiveP tr (new TurnRight);
    tree->addTerminal(tr);
    Tree::PrimitiveP mv (new MoveAhead);
    tree->addTerminal(mv);

    // register genotype with our primitives
    state->addGenotype(tree);

    // initialize and start evaluation
    if(!state->initialize(argc, argv))
        return 1;
    state->run();


    // after the evolution: show best evolved ant's behaviour on learning trails
    std::vector<IndividualP> hof = state->getHoF()->getBest();
    IndividualP ind = hof[0];
    std::cout << ind->toString();
    std::cout << "\nBest ant's performance on learning trail(s):" << std::endl;


    // show ant movement on the trail(s)
    AntEvalOp::trace = 1;

    // optional: show movements step by step (interactive)
    //AntEvalOp::step = 1;

    state->getEvalOp()->evaluate(ind);


    // also, simulate best evolved ant on a (different) test trail!
    std::cout << "\nBest ant's performance on test trail(s):" << std::endl;
    AntEvalOp* evalOp = new AntEvalOp;

    // substitute test trails for learning trails (defined in config file):
    state->getRegistry()->modifyEntry("learning_trails", state->getRegistry()->getEntry("test_trails"));
    evalOp->initialize(state);
    evalOp->evaluate(ind);


    // optional: write best individual to 'best.txt'
//  ofstream best("./best.txt");
//  best << ind->toString();
//  best.close();

    // optional: read individual from 'best.txt' (for subsequent simulation)
//  XMLNode xInd = XMLNode::parseFile("./best.txt", "Individual");
//  IndividualP ind = (IndividualP) new Individual(state);
//  ind->read(xInd); 

    return 0;
}