/******************************************************************************
Function createChildren - controls the process of creating children
Takes parameters:
@geneticArray - pointer to a vector of whole population
@geneticP - pointer to a struct of all CGP params
@functions - pointer to an array of available functions
******************************************************************************/
void createChildren(vector<TIndividual>* geneticArray, TCgpProperties* geneticP, TFuncAvailable* functions){
for(int i = 1; i < geneticP->individCount; i++){
//copy parent
copyGenotype(&geneticArray->at(0), &geneticArray->at(i), geneticP);
//change 3-10% of genes
changeGenes(&geneticArray->at(i), geneticP, functions);
}
}
Individual *copyIndividual(Individual *individual) {
Individual *newIndividual = malloc(sizeof(Individual));
newIndividual->valid = individual->valid;
newIndividual->fitness = individual->fitness;
newIndividual->genotype = copyGenotype(individual->genotype);
/* TODO copy phenotype and tree */
newIndividual->phenotype = NULL;
newIndividual->derivationTree = NULL;
return newIndividual;
}
/******************************************************************************
Function getParents - selects the best individual in the generation compared
by fitness. Secondary parameters - the one which was not parent is better
and the one with shorter equation is better.
Takes parameters:
@geneticArray - pointer to a vector of whole population
@geneticP - pointer to a struct of all CGP params
******************************************************************************/
void getParents(vector<TIndividual>* geneticArray, TCgpProperties* geneticP){
int max = -1;
TIndividual* parent;
for(int i = 0; i < geneticP->individCount; i++){
if(geneticArray->at(i).fitness > max){
max = geneticArray->at(i).fitness;
parent = &(geneticArray->at(i));
}
else if(geneticArray->at(i).fitness == max){
if(geneticArray->at(i).activeNodesCount < parent->activeNodesCount){
parent = &(geneticArray->at(i));
}
else if((i > 0) && (parent == &(geneticArray->at(i)))){
parent = &(geneticArray->at(i));
}
}
}
copyGenotype(parent, &geneticArray->at(0), geneticP);
}
