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# Charlie Project | ||
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## Description | ||
This project is a simple library that allows PHP developers to easily build their own applications by using Genetic Algorithms. | ||
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## Installation | ||
To install this library, you can use composer: | ||
``` | ||
composer require charlieproject/genetic-algorithm | ||
``` | ||
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## Usage | ||
To use this library for your own purposes as a PHP developer, you need to: | ||
1. Define your own Gene class that will implement the `Charlie\Gene\GeneInterface` interface. | ||
2. Define your own FitnessFunction class that will implement the `Charlie\Fitness\CalculatorInterface` interface. | ||
3. Define your own Selection class that will implement the `Charlie\Actions\Selection\SelectorInterface` interface. | ||
4. Build your populations by implementing the `Charlie\Population\PopulationBuilderInterface` interface. | ||
5. Define your problem by using the `Charlie\Problem\Problem` class. | ||
6. Run the `solve` method of the `Charlie\Problem\Problem` class. | ||
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## Example | ||
Let's say we want to find the best possible solution for the following knapsack problem: | ||
> We have a list of 10 items. Each item has a weight and a value. We want to find the best combination of items that will maximize the total value of the items, but the total weight of the items must not exceed 15. | ||
First, we need to define our Gene class. In our example, a Gene will be an item from the list. Therefore, we need to create a class that will represent an item from the list. Let's call it `Item`. The `Item` class needs to implement the `Charlie\Gene\GeneInterface` interface. Here is how the `Item` class will look like: | ||
```php | ||
<?php | ||
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class Item implements \Charlie\Gene\GeneInterface | ||
{ | ||
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private bool $picked; | ||
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public function __construct(private int $weight, private int $value) | ||
{ | ||
$this->weight = $weight; | ||
$this->value = $value; | ||
$this->picked = false; | ||
} | ||
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public function getWeight(): int | ||
{ | ||
return $this->weight; | ||
} | ||
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public function setWeight(int $weight): self | ||
{ | ||
$this->weight = $weight; | ||
return $this; | ||
} | ||
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public function getValue(): int | ||
{ | ||
return $this->value; | ||
} | ||
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public function setValue(int $value): self | ||
{ | ||
$this->value = $value; | ||
return $this; | ||
} | ||
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public function isPicked(): bool | ||
{ | ||
return $this->picked; | ||
} | ||
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public function set(mixed $data): \Charlie\Gene\GeneInterface | ||
{ | ||
$this->setValue($data['value'] ?? 0); | ||
$this->setWeight($data['weight'] ?? 0); | ||
return $this; | ||
} | ||
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public function get(): mixed | ||
{ | ||
return [ | ||
'value' => $this->getValue(), | ||
'weight' => $this->getWeight(), | ||
]; | ||
} | ||
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public function mutate(): \Charlie\Gene\GeneInterface | ||
{ | ||
$this->picked = !$this->picked; | ||
return $this; | ||
} | ||
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public function __toString(): string | ||
{ | ||
return sprintf('Value: %s, Weight: %s, Picked: %s', $this->getValue(), $this->getWeight(), $this->isPicked() ? 'Yes' : 'No'); | ||
} | ||
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public function isEqual(\Charlie\Gene\GeneInterface $gene): bool | ||
{ | ||
return $this->getValue() === $gene->getValue() && $this->getWeight() === $gene->getWeight(); | ||
} | ||
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} | ||
``` | ||
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Next, we need to define our FitnessFunction class. In our example, the FitnessFunction will calculate the total value of a combination of items. Therefore, we need to create a class that will calculate the total value of a combination of items. Let's call it `KnapsackFitnessFunction`. The `KnapsackFitnessFunction` class needs to implement the `Charlie\Fitness\CalculatorInterface` interface. Here is how the `KnapsackFitnessFunction` class will look like: | ||
```php | ||
<?php | ||
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class KnapsackFitnessFunction implements \Charlie\Fitness\CalculatorInterface | ||
{ | ||
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public function calculate(\Charlie\Chromosome\Chromosome $chromosome): int | ||
{ | ||
$items = $chromosome->getData(); | ||
$items = array_filter($items, function (Item $item) { | ||
return $item->isPicked(); | ||
}); | ||
$totalValue = array_reduce($items, function ($carry, $item) { | ||
return $carry + $item->getValue(); | ||
}, 0); | ||
$totalWeight = array_reduce($items, function ($carry, $item) { | ||
return $carry + $item->getWeight(); | ||
}, 0); | ||
if ($totalWeight > 15) { | ||
$totalValue = 0; | ||
} | ||
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return $totalValue; | ||
} | ||
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} | ||
``` | ||
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Now, we can solve our problem. In our example, we will run the `Problem` class. Here is how we run it: | ||
```php | ||
<?php | ||
require_once __DIR__ . '/../../vendor/autoload.php'; | ||
require_once __DIR__ . '/KnapsackFitnessFunction.php'; | ||
require_once __DIR__ . '/Item.php'; | ||
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$combination1 = [ | ||
new Item(1, 1), | ||
new Item(2, 3), | ||
new Item(3, 5), | ||
new Item(4, 7), | ||
new Item(5, 9), | ||
new Item(6, 11), | ||
new Item(7, 13), | ||
]; | ||
$combination2 = [ | ||
new Item(1, 1), | ||
new Item(2, 3), | ||
new Item(3, 5), | ||
new Item(4, 7), | ||
new Item(4, 6), | ||
new Item(6, 11), | ||
new Item(7, 13), | ||
]; | ||
$combination3 = [ | ||
new Item(1, 1), | ||
new Item(2, 3), | ||
new Item(3, 5), | ||
new Item(4, 7), | ||
new Item(4, 7), | ||
new Item(6, 10), | ||
new Item(7, 13), | ||
]; | ||
$combination4 = [ | ||
new Item(1, 1), | ||
new Item(2, 3), | ||
new Item(4, 5), | ||
new Item(4, 7), | ||
new Item(5, 9), | ||
new Item(3, 1), | ||
new Item(7, 13), | ||
]; | ||
$combination5 = [ | ||
new Item(1, 1), | ||
new Item(2, 3), | ||
new Item(4, 5), | ||
new Item(6, 7), | ||
new Item(5, 9), | ||
new Item(3, 10), | ||
new Item(7, 13), | ||
]; | ||
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$population = new \Charlie\Population\Population([ | ||
new \Charlie\Individual\Individual(new \Charlie\Chromosome\Chromosome($combination1)), | ||
new \Charlie\Individual\Individual(new \Charlie\Chromosome\Chromosome($combination2)), | ||
new \Charlie\Individual\Individual(new \Charlie\Chromosome\Chromosome($combination3)), | ||
new \Charlie\Individual\Individual(new \Charlie\Chromosome\Chromosome($combination4)), | ||
new \Charlie\Individual\Individual(new \Charlie\Chromosome\Chromosome($combination5)), | ||
]); | ||
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$fitnessFunction = new KnapsackFitnessFunction(); | ||
$selection = new \Charlie\Actions\PairSelection(); | ||
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$problem = new \Charlie\Actions\Problem\Problem(); | ||
$problem->setCalculator($fitnessFunction); | ||
$problem->setCrossOver(new \Charlie\Actions\CrossOver(new \Charlie\Randomizer\MtRandomizer())); | ||
$problem->setMutator(new \Charlie\Actions\Mutator(new \Charlie\Randomizer\MtRandomizer())); | ||
$problem->setSelection($selection); | ||
$problem->setMaxEvolveCount(100); | ||
$problem->setPopulation($population); | ||
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$problem->solve(); | ||
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echo "SOLUTION: " . PHP_EOL; | ||
$bestParents = $selection->selectBest($population, $fitnessFunction); | ||
echo (string) $bestParents->getIndividual1() . PHP_EOL; | ||
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``` | ||
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## License | ||
This library is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details. | ||
``` | ||
MIT License | ||
=========== | ||
SPDX short identifier: MIT | ||
Further resources on the MIT License | ||
----------------------------------- | ||
- [Choose an open source license](https://choosealicense.com/licenses/mit/) | ||
- [Non-assertion covenants](https://choosealicense.com/non-assertion/) | ||
- [TLDR Legal: MIT License](https://tldrlegal.com/license/mit-license) | ||
- [Wikipedia: MIT License](https://en.wikipedia.org/wiki/MIT_License) | ||
``` |
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