Fast genetic library in javascript

fast-genetics.js

class Genetic {
  constructor(conf) {
    this.setConfiguration(conf);
    this.population = new Int32Array(this.conf.genomeLength * this.conf.populationSize);
    for (let i=0; i<this.conf.populationSize; i++) this.seedGenome(this.getGenome(i));
  }
  
  setConfiguration(conf) {
    this.conf = Object.assign({
      populationSize: 100,
      genomeLength: 10,
      geneticDrift: 100
    }, conf);
  }
  
  getGenome(individualIndex) {
    const len = this.conf.genomeLength, i = len * individualIndex;
    return this.population.subarray(i, i + len);
  }
  
  /**Writes a random genome**/
  seedGenome(genome) {
    for(let i=0; i<genome.length; i++) genome[i] = Genetic.randomInt(0, this.conf.drift);
  }

  /** Write a mutated version of parent to child**/
  mutate(parent, child) {
    const drift = this.conf.geneticDrift;
    for(let i=0; i<parent.length; i++){
      child[i] = parent[i] + Genetic.randomInt(0, drift) - drift/2;
    }
  }
  
  /** Creates a new genome from the crossover of father and mother and write it to child**/
  crossover(father, mother, child) {
    const start = Genetic.randomInt(0, father.length),
          end   = Genetic.randomInt(0, father.length);
    for(let i=0; i<mother.length; i++)
      child[i] = (start < i && i < end) ? father[i] : mother[i];
  }

  /** Returns a random integer in range [from, to[ **/
  static randomInt(from, to) {
    return to + Math.floor(Math.random()*(from-to));
  }
}