function buildChilds()
{
$indiv = new individual();
for ($i = 1; $i <= $this->population; $i++) {
$g_value = $this->mutate($this->arr_individual[$i]->gene_value);
$f_value = $this->fitness($g_value);
$indiv->set($g_value, $f_value, $this->date);
$this->arr_offspring[$i] = $indiv;
$this->date++;
}
$this->currentGeneration++;
}
private static function crossover($indiv1, $indiv2)
{
$newSol = new individual();
//create a offspring
// Loop through genes
for ($i = 0; $i < $indiv1->size(); $i++) {
// Crossover at which point 0..1 , .50 50% of time
if (algorithm::random() <= algorithm::$uniformRate) {
$newSol->setGene($i, $indiv1->getGene($i));
} else {
$newSol->setGene($i, $indiv2->getGene($i));
}
}
return $newSol;
}
function __construct($populationSize, $initialise = false)
{
if (!isset($populationSize) || $populationSize == 0) {
die("Must specify a populationsize > 0");
}
for ($i = 0; $i < $populationSize; $i++) {
$this->people[$i] = new individual();
}
//instantiate a new object
// Initialise population
if ($initialise) {
// Loop and create individuals
for ($i = 0; $i < count($this->people); $i++) {
$new_person = new individual();
$new_person->generateIndividual(count(fitnesscalc::$solution));
$this->saveIndividual($i, $new_person);
}
}
}
