genetic-algorithm-library

#Genetic Algorithm library

###Usage

Here is a simple example that compute the square root of 2 using a genetic algorithm

``typescript
import {GeneticOptimizer, GeneticOptimizerOptions, EvaluatedSample, MINIMIZE} from "genetic-algorithm-library";

/**
* A simple optimizer that will 'compute' sqrt of 2
*/
class Optimizer extends GeneticOptimizer {

constructor() {
super();
}

// OVERRIDE
protected crossover(parents: Array): Array {
// each pair of parent produces 3 children
return [
parents[0] 0.3 + parents[1] 0.7,
(parents[0] + parents[1]) * 0.5,
parents[0] 0.7 + parents[1] 0.3
];
}

// OVERRIDE
protected evaluateGenotype(genotype: number): number {
return Math.abs(Math.sqrt(2) - genotype);
}

// OVERRIDE
protected generateOneGenotype(): number {
// wow look at this 10
return Math.random() * 10;
}

// OVERRIDE
protected getNumberOfCrossoverParent(): number {
return 2;
}

// OVERRIDE
protected mutate(genotype: number): number {
// because why not
return (genotype + Math.random() 5) 0.5;
}

getBestSample(): EvaluatedSample {
return this.samples[0];
}
}

// initialize the model
const optimizer = new Optimizer();

// train the model
optimizer.evolve();
optimizer.evolve();
optimizer.evolve();
optimizer.evolve();
optimizer.evolve();

console.log(optimizer.getBestSample());
// &> { genotype: 1.4142135623730951, score: 0 }
``