File: gaExample2.php

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File: gaExample2.php
Role: Example script
Content type: text/plain
Description: GA Example 2
Class: GA
Generic genetic algorithms base implementation
Author: By
Last change:
Date: 15 years ago
Size: 1,601 bytes
 

Contents

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<?
require_once('ga.php');
class
Human {
    var
$strength;
    var
$dexterity;
    var
$resistance;
    var
$intelligence;
   
    function
Human($strength=0,$dexterity=0,$resistance=0,$intelligence=0) {
       
$this->strength = $strength;
       
$this->dexterity = $dexterity;
       
$this->resistance = $resistance;
       
$this->intelligence = $intelligence;
    }
}

function
debug($x) {
    echo
"<pre style='border: 1px solid black'>";
   
print_r($x);
    echo
'</pre>';
}

//This will be the mutation function. Just increments the property.
function inc($x) {
    return
$x+1;
}
//This will be the crossover function. Is just the average of all properties.
function avg($a,$b) {
    return
round(($a+$b)/2);
}
//This will be the fitness function. Is just the sum of all properties.
function total($obj) {
    return
$obj->strength + $obj->dexterity + $obj->resistance + $obj->intelligence;
}

$adam = new Human(4,2,3,1);
$eve = new Human(1,4,2,3);
$ga = new GA();
$ga->population = array($adam,$eve);
debug($ga->population);
$ga->fitness_function = 'total'; //Uses the 'total' function as fitness function
$ga->num_couples = 1; //4 couples per generation (when possible)
$ga->death_rate = 0; //No kills per generation
$ga->generations = 100; //Executes 100 generations
$ga->crossover_functions = 'avg'; //Uses the 'avg' function as crossover function
$ga->mutation_function = 'inc'; //Uses the 'inc' function as mutation function
$ga->mutation_rate = 10; //10% mutation rate
$ga->evolve(); //Run
debug($ga->population);
debug(GA::select($ga->population,'total',1)); //The best
?>


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