Done Genome serialization/unserialization [Genome::serialize()] + [Genome::unserialize(String)]
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@ -4,7 +4,7 @@
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use filemanager\core\FileManager;
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class Genome/* implements \Serializable*/{
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class Genome implements \Serializable{
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/************************************************
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**** Constants ****
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@ -20,6 +20,10 @@
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public $synapses; // Synapses between neurons
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/************************************************
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**** Genome Construction ****
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************************************************/
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/* CONSTRUCTOR
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*
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* -- RANDOM CREATION --
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@ -146,6 +150,10 @@
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}
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/************************************************
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**** Genome Actions ****
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************************************************/
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/* APPLIES A MUTATION ON THE Genome WITH A SPECIFIC @threshold
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*
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* @threshold<double> Mutation threshold
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@ -186,6 +194,60 @@
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for( $i = 0, $l = count($iSynapses) ; $i < $l ; $i++ )
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$this->synapses[$iSynapses[$i]] = rand(self::MIN, self::MAX) / self::MAX;
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}
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/************************************************
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**** Serialization ****
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************************************************/
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/* SERIALIZES A Genome
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*
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* @return serialized<String> Serialized representation of the Genome
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*
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*/
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public function serialize(){
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/* (1) Initialize result */
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$csv = '';
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/* (2) Adds global attributes */
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$csv .= $this->layers .';';
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/* (3) Adds neurons data */
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$csv .= implode(',', $this->neurons) .';';
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/* (4) Adds synapses data */
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$csv .= implode(',', $this->synapses);
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return $csv;
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}
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/* BUILDS A Genome BASED ON HIS SERIALIZED REPRESENTATION
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*
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* @serialized<String> Serialized representation of a Genome
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*
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*/
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public function unserialize($serialized){
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/* (1) Segmenting data */
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$segments = explode(';', $serialized);
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// Manage segmentation error
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if( count($segments) < 3 )
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throw new \Error('Format error during Genome unserialization.');
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/* (2) Get global attributes */
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if( !is_numeric($segments[0]) )
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throw new \Error('Format error during Genome unserialization.');
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$this->layers = intval($segments[0]);
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/* (3) Get neurons values */
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$this->neurons = explode(',', $segments[1]);
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/* (4) Get synapses values */
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$this->synapses = explode(',', $segments[2]);
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}
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}
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@ -45,31 +45,22 @@
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/* (1) Basic Creation */
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$a = new Genome(2, 3); // 2 layers of 3 neurons each -> randomly filled
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echo "A neurons\n";
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echo implode(' ; ', $a->neurons)."\n";
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echo "A synapses\n";
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echo implode(' ; ', $a->synapses)."\n\n";
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echo "A : ".$a->serialize()."\n";
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/* (2) Inheritance */
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$b = new Genome($a); // Clone of @aecho "A neurons\n";
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echo "A's clone neurons\n";
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echo implode(' ; ', $b->neurons)."\n";
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echo "A's clone synapses\n";
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echo implode(' ; ', $b->synapses)."\n\n";
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echo "cloning A to B\n";
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echo "B : ".$b->serialize()."\n";
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/* (3) Section Title */
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$b->mutation(0.3); // @b has now mutated with a threshold of 30%
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echo "mutated clone neurons\n";
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echo implode(' ; ', $b->neurons)."\n";
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echo "mutated clone synapses\n";
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echo implode(' ; ', $b->synapses)."\n\n";
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echo "mutate B\n";
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echo "B : ".$b->serialize()."\n";
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/* (4) Cross-over (father+mother) */
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$c = new Genome($a, $b); // @c is a randomly-done mix of @a and @b
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echo "A+B neurons\n";
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echo implode(' ; ', $c->neurons)."\n";
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echo "A+B synapses\n";
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echo implode(' ; ', $c->synapses)."\n\n";
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echo "crossover : A+B -> C\n";
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echo "C : ".$c->serialize()."\n";
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}
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