function run()
{
$data = array();
$adam = new HelloWorld();
$eve = new HelloWorld();
$ga = new GA();
$ga->population = array($adam, $eve);
add_data_for_chart($ga->population);
$ga->fitness_function = array('HelloWorldProgram', 'fitness');
//Uses the 'total' function as fitness function
$ga->num_couples = 1;
//4 couples per generation (when possible)
$ga->death_rate = 2;
//No kills per generation
$ga->generations = 50;
//Executes 100 generations
$ga->crossover_functions = array('string' => 'avg_char_code');
//Array with functions, like $property=>$func
$ga->mutation_function = 'char_gradual_change';
//Uses the 'inc' function as mutation function
$ga->mutation_rate = 60;
//10% mutation rate
$ga->evolve();
//Run
add_data_for_chart($ga->population);
//add_data_for_chart(GA::select($ga->population, $ga->fitness_function, 1)); //The best
$this->show_stats($ga);
}
function run()
{
$data = array();
$adam = new Digit();
$eve = new Digit();
$ga = new GA();
$ga->population = array($adam, $eve);
//add_data_for_chart($ga->population);
$ga->fitness_function = array('DigitProgram', 'fitness');
//Uses the 'total' function as fitness function
$ga->num_couples = 1;
//4 couples per generation (when possible)
$ga->death_rate = 2;
//2 kills per generation
$ga->generations = 50;
//Executes 100 generations
$ga->crossover_functions = array('digit' => 'crossover');
//Array with functions, like $property=>$func
$ga->mutation_function = 'mutation';
//Uses the 'inc' function as mutation function
$ga->mutation_rate = 60;
//10% mutation rate
$ga->evolve();
//Run
echo "<pre>";
//print_r($ga);
echo "</pre>";
//add_data_for_chart($ga->population);
//add_data_for_chart(GA::select($ga->population, $ga->fitness_function, 1)); //The best
//$this->show_stats($ga);
}
//This will be the mutation function. Just increments the property.
function inc($x)
{
return $x + 1;
}
//This will be the fitness function. Is just the sum of all properties.
function total($obj)
{
return $obj->p1 + $obj->p2;
}
$t1 = new Test(1, 4);
$t2 = new Test(3, 2);
$ga = new GA();
$ga->population = array($t1, $t2);
$ga->fitness_function = 'total';
//Uses the 'total' function as fitness function
$ga->num_couples = 1;
//1 couple per generation
$ga->death_rate = 0;
//1 death per generation
$ga->generations = 10;
//Executes 10 generations
$ga->crossover_functions = 'max';
//Uses the 'max' (built-in) function as crossover function
$ga->mutation_function = 'inc';
//Uses the 'inc' function as mutation function
$ga->mutation_rate = 1;
//1% mutation rate
$ga->evolve();
//Run
debug($ga->population);
