D:/Projekt/ECF_trunk/examples/GPArtificialAnt/main_interactive.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
    if(!state->initialize(argc, argv))
        return 1;

    // read individual from 'best.txt' 
    XMLNode xInd = XMLNode::parseFile("./best.txt", "Individual");
    IndividualP ind = (IndividualP) new Individual(state);
    ind->read(xInd); 
    std::cout << ind->toString();

    std::cout << "\nBest ant's performance on test trail(s):" << std::endl;
    AntEvalOp* evalOp = new AntEvalOp;
    AntEvalOp::trace = 1;
    AntEvalOp::step = 1;

    // 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);

    return 0;
}