GList* initializePopulation(individual* seed, gint number){
GList* population=NULL;
gint i, j;
gint random;
individual* ind;
ind=copyIndividual(seed);
evaluateIndividual(ind, 0);
memoryUsage* memoryU=stdMemoryAvg->data;
memoryU->timeUsr=ind->time;
memoryU->MEMORY_PROFILING_UNIT=ind->memory;
population=g_list_append(population, ind);
mutType mt;
for(i=1; i<number; i++){
ind=copyIndividual(seed);
//random=randomIntRange(0, numberOfGenes);
for(j=0; j<numberOfGenes; j++){
if(default_mutation_type[j]==mutation_power2){
mt=mutation_power2_random;
}
else if(default_mutation_type[j]==mutation_power2_allow0){
mt=mutation_power2_allow0_random;
}
else mt=mutation_random;
ind->chrom[j]=mutationGene(mt, ind->chrom[j], default_lower_bound[j], default_upper_bound[j]);
}
evaluateIndividual(ind, i);
population=g_list_append(population, ind);
}
calculateFrontier(&population);
return population;
}
gint crossover(GList** population){
gint num, length=g_list_length(*population);
individual* parent1, *parent2, *child1, *child2;
for(num=0; num<POPULATION_SIZE*CROSSOVER_RATE; num+=2){
g_printf("crossover %d, size=%d\n", num+1, g_list_length(*population));
parent1=tournamentSelect(*population);
child1=copyIndividual(parent1);
parent2=tournamentSelect(*population);
while(parent1==parent2) parent2=tournamentSelect(*population);
child2=copyIndividual(parent2);
crossoverScattered(child1, child2);
child1->fitness=evaluateIndividual(child1, length+num);
child2->fitness=evaluateIndividual(child2, length+num+1);
*population=g_list_append(*population, child1);
*population=g_list_append(*population, child2);
}
return 0;
}
GList* initializeRandPopulation(individual* seed, gint number){
GList* population=NULL;
gint i, j;
gint random;
individual* ind;
ind=copyIndividual(seed);
evaluateIndividual(ind, 0);
memoryUsage* memoryU=stdMemoryAvg->data;
memoryU->timeUsr=ind->time;
memoryU->MEMORY_PROFILING_UNIT=ind->memory;
population=g_list_append(population, ind);
//gint printGap=number/100==0?1:number/100;
mutType mt;
for(i=1; i<number; i++){
ind=copyIndividual(seed);
if(i%50==0){
g_printf("\n%d-%d: ", i, i+50);
fprintf(logfp, "\n%d-%d: ", i, i+50);
}
//random=randomIntRange(0, numberOfGenes);
for(j=0; j<numberOfGenes; j++){
if(default_mutation_type[j]==mutation_power2){
mt=mutation_power2_random;
}
else if(default_mutation_type[j]==mutation_power2_allow0){
mt=mutation_power2_allow0_random;
}
else mt=mutation_random;
ind->chrom[j]=mutationGene(mt, ind->chrom[j], default_lower_bound[j], default_upper_bound[j]);
}
evaluateIndividual(ind, i);
population=g_list_append(population, ind);
}
g_printf("\n");
selection(&population);
return population;
}
void AtariFTNeatExperiment::processGroup(shared_ptr<NEAT::GeneticGeneration> generation)
{
shared_ptr<NEAT::GeneticIndividual> individual = group.front();
evaluateIndividual(individual);
}
