public void eval(
final EvolutionState state,
final int thread,
final GPData input,
final ADFStack stack,
final GPIndividual individual,
final Problem problem) {
PredatorPrey p = (PredatorPrey) problem;
PredatorPreyData rd = ((PredatorPreyData) (input));
int x = p.getIndX();
int y = p.getIndY();
int orientation = p.getIndOrientation();
// Finds which square is behing the agent depending on its facing
switch (orientation) {
case 0:
rd.val = p.getAgentType(x, y + 1);
break;
case 1:
rd.val = p.getAgentType(x - 1, y);
break;
case 2:
rd.val = p.getAgentType(x, y - 1);
break;
case 3:
rd.val = p.getAgentType(x + 1, y);
break;
}
if (rd.val < 0) {
System.out.println(toString() + " is negative, rd.val = " + rd.val);
}
}
public void eval(
final EvolutionState state,
final int thread,
final GPData input,
final ADFStack stack,
final GPIndividual individual,
final Problem problem) {
int result;
PredatorPreyData rd = ((PredatorPreyData) (input));
children[0].eval(state, thread, input, stack, individual, problem);
result = rd.val;
// If the first child was less than or equal to the second child, set the value
// back to that of the first child
children[1].eval(state, thread, input, stack, individual, problem);
if (result <= rd.val) {
rd.val = result;
}
rd.val = rd.val % 4;
if (rd.val < 0) {
System.out.println(toString() + " is negative, rd.val = " + rd.val);
}
}