JS

/*
Algorithm-
1) Calculate the fitness for N elemenets
2) Reproduction/Selection
- pick 2 "parents" ( the more fitness they have, the higher the chance of them being picked is)
- making a new element by
1. crossover
2. mutation






*/

function generateRandomLetter(){
    var possible = "abcdefghijklmnopqrstuvwxyz";
    return possible[Math.floor(Math.random()*possible.length)] ;
}

class DNA{
    constructor(){
        this.genes = [];
        this.createRandomGenerationOfNElements(10);
        this.fitness = 0;
        this.mutationLikelihood = 1; // in percentage
    }
    createRandomGenerationOfNElements(n){
        for(let i = 0;i < n;i++){
            this.genes.push(generateRandomLetter());
        }
    }
    mutate(){
        // TO DO
    }
    crossover(){
        // TO DO
    }
    calcFitness(){
        // TO DO
    }
}
var dna = new DNA();
function makeBorders(){
    context.strokeRect(1,1,canvas.width-1,canvas.height-1);
}
function update(){

}
function draw(){
    makeBorders();
    //context.fillRect(500,300,20,20);
}