Path evolution

This turtle uses the naive genetic algorithm from Natural selection to evolve an initial path to one that matches the 'fittest' path as much as possible.

#genetic

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// Path evolution. Created by Reinder Nijhoff 2019
// @reindernijhoff
//
// https://turtletoy.net/turtle/d5e96736b9
//

const mutationRate = .25; // min=0.0, max=0.5, step=0.001
const mutationDefect = 2; // min=0, max=100, step=0.1
const populationSize = 25; // min=10, max=100, step=1
const generationsPerFrame = 1; // min=1, max=100, step=1

const grid = 13; // min=1, max=15, step=1

const startPath  = `M0,-37 C-10,-37 -26,-22 -30,-14 C-32,-10 -38,-3 -35,2 C-28,17 -7,39 13,29
C14,28 17,30 18,29 C59,9 37,-36 -3,-36`; // type=path, bbox=-40,-40,80,80 Click here to redraw the path

const fittestPath = `M0,-38 C0,-16 15,-2 20,18 C21,20 28,36 28,36 L26,36 C21,34 18,28 14,25
C3,17 -7,5 -20,2 C-22,1 -33,-5 -33,-5 L-32,-5 C-27,-5 -22,-5 -17,-5 C-3,-5 11,-6 25,-6 C26,-6 38,-4 38,-4
L23,1 C11,5 -7,18 -18,25 C-22,28 -28,30 -31,33 L-35,37 C-35,36 -26,22 -25,19 C-22,13 -21,6 -18,0
C-12,-12 -2,-24 -2,-37`; // type=path, bbox=-40,-40,80,80 Click here to redraw the path


let seed = 1; // min=1, max=1000, step=1
let tokens = startPath.match(/([0-9.-]+|[MLC])/g);
const target = Path(fittestPath.match(/([0-9.-]+|[MLC])/g));

function Translate(x,y) { return p => [p[0]+x, p[1]+y]; }
function Scale(s) { return p => [p[0]*s, p[1]*s]; }

function mutation(tokens) {
    return tokens.map(token => {
       if (isNumber(token)) {
           const defect = (random()-.5)*2;
           return random() < mutationRate ? token - (defect**2)*Math.sign(defect)*mutationDefect : token;
       } else return token;
    });
}

function drawPath(i, tokens) {
    const y = i/grid|0, x = i%grid;
    const path = Path(tokens);
    const steps = path.length() | 0;
    
    const turtle = new Tortoise(path.p(0));
    turtle.addTransform(Scale(1.65 / grid));
    turtle.addTransform(Translate((x+.5)*180/grid-90, (y+.5)*180/grid-90));
    
    for (let i=0; i<steps; i++) {
        turtle.goto(path.p( i/steps ));
    }
}

//
// Individual
//
class Individual {
    constructor(tokens = []) { 
        this.dna = tokens;
        this.fitness = 0;
    }
    breed(p0, p1) {
        let s = Math.floor(Math.random()*(this.dna.length-2))+1;
        // crossover
        if (Math.random() < .5) {
            this.dna = [...p0.dna.slice(0,s), ...p1.dna.slice(s)];
        } else {
            this.dna = [...p1.dna.slice(0,s), ...p0.dna.slice(s)];
        }
        // mutations
        this.dna = mutation(this.dna);
        
        this.calcFitness();
    }
    calcFitness() {
        this.fitness = 0;
        const path = Path(this.dna);
        const steps = 100;
        for (let i=0; i<steps; i++) {
            const p0 = path.p(i/steps);
            const p1 = target.p(i/steps);
            this.fitness += (p0[0]-p1[0])**2 + (p0[1]-p1[1])**2;
        }
    }
}

//
// Generation
//
class Generation {
    constructor() {
        this.individuals = [];
        for (let i=0; i<populationSize; i++) {
            this.individuals[i] = new Individual();
        }
    }
    fillWithTokens(tokens) {
        this.individuals.forEach(i => i.dna = [...tokens]);
        return this.sortFittest();
    }
    breed(parentGeneration) {
        const p0 = parentGeneration.individuals[0];
        const p1 = parentGeneration.individuals[1];
        this.individuals.forEach(i => i.breed(p0, p1));
        return this.sortFittest();
    }
    sortFittest() {
        this.individuals.sort( (a, b) => a.fitness - b.fitness );
        return this;
    }
}

//
// Selection
//

let gen0 = new Generation().fillWithTokens(tokens);
let gen1 = new Generation().fillWithTokens(tokens);

function walk(i) {
    drawPath(i, gen0.individuals[0].dna);
    
    for (let j=0; j<generationsPerFrame; j++) {
        gen1.breed(gen0)
        gen0.breed(gen1)
    }
    
    return i < grid*grid-1;
}

function isNumber(n) {
    return !isNaN(parseFloat(n)) && isFinite(n);
}

function random() {
    let r = 1103515245 * ((++seed >> 1) ^ seed);
    r = 1103515245 * (r ^ (r>>3));
    r = r ^ (r >> 16);
    return r / 32768 % 1;	
}

////////////////////////////////////////////////////////////////
// Modified path utility code. Created by Reinder Nijhoff 2023
// Parses a single SVG path (only M, C and L statements are
// supported). The p-method will return
// [...position, ...derivative] for a normalized point t.
//
// https://turtletoy.net/turtle/46adb0ad70
////////////////////////////////////////////////////////////////
function Path(tokens) {
    class MoveTo {
        constructor(p) { this.p0 = p; }
        p(t, s) { return [...this.p0, 1, 0]; }
        length() { return 0; }
    }
    class LineTo {
        constructor(p0, p1) { this.p0 = p0, this.p1 = p1; }
        p(t, s = 1) {
            const nt = 1 - t, p0 = this.p0, p1 = this.p1;
            return [ 
                nt*p0[0] + t*p1[0],
                nt*p0[1] + t*p1[1],
                (p1[0] - p0[0]) * s,
                (p1[1] - p0[1]) * s,
            ];
        }
        length() { 
            const p0 = this.p0, p1 = this.p1;
            return Math.hypot(p0[0]-p1[0], p0[1]-p1[1]);
        }
    }
    class BezierTo {
        constructor(p0, c0, c1, p1) { this.p0 = p0, this.c0 = c0, this.c1 = c1, this.p1 = p1; }
        p(t, s = 1) {
            const nt = 1 - t, p0 = this.p0, c0 = this.c0, c1 = this.c1, p1 = this.p1;
            return [ 
                nt*nt*nt*p0[0] + 3*t*nt*nt*c0[0] + 3*t*t*nt*c1[0] + t*t*t*p1[0],
                nt*nt*nt*p0[1] + 3*t*nt*nt*c0[1] + 3*t*t*nt*c1[1] + t*t*t*p1[1],
                (3*nt*nt*(c0[0]-p0[0]) + 6*t*nt*(c1[0]-c0[0]) + 3*t*t*(p1[0]-c1[0])) * s,
                (3*nt*nt*(c0[1]-p0[1]) + 6*t*nt*(c1[1]-c0[1]) + 3*t*t*(p1[1]-c1[1])) * s,
            ];
        }
        length() {
            return this._length || (
                this._length = Array.from({length:25}, (x, i) => this.p(i/25)).reduce( 
                    (a,c,i,v) => i > 0 ? a + Math.hypot(c[0]-v[i-1][0], c[1]-v[i-1][1]) : a, 0));
        }
    }
    class Path {
        constructor(tokens) {
            this.segments = [];
            this.parsePath(tokens);
        }
        parsePath(t) {
            for (let s, i=0; i<t.length;) {
                switch (t[i++]) {
                    case 'M': this.add(new MoveTo(s=[t[i++],t[i++]]));
                              break;
                    case 'L': this.add(new LineTo(s, s=[t[i++],t[i++]]));
                              break;
                    case 'C': this.add(new BezierTo(s, [t[i++],t[i++]], [t[i++],t[i++]], s=[t[i++],t[i++]]));
                              break;
                    default:  i++;
                }
            }
        }
        add(segment) {
            this.segments.push(segment);
            this._length = 0;
        }
        length() {
            return this._length || (this._length = this.segments.reduce((a,c) => a + c.length(), 0));
        }
        p(t) {
            t = Math.max(Math.min(t, 1), 0) * this.length();
            for (let l=0, i=0, sl=0; i<this.segments.length; i++, l+=sl) {
                sl = this.segments[i].length();
                if (t > l && t <= l + sl) {
                    return this.segments[i].p((t-l)/sl, sl/this.length());
                }
            }
            return this.segments[Math.min(1, this.segments.length-1)].p(0);
        }
    }
    return new Path(tokens);
}

////////////////////////////////////////////////////////////////
// Tortoise utility code. Created by Reinder Nijhoff 2019
// https://turtletoy.net/turtle/102cbd7c4d
////////////////////////////////////////////////////////////////

function Tortoise(x, y) {
    class Tortoise extends Turtle {
        constructor(x, y) {
            super(x, y);
            this.ps = Array.isArray(x) ? [...x] : [x || 0, y || 0];
            this.transforms = [];
        }
        addTransform(t) {
            this.transforms.push(t);
            this.jump(this.ps);
            return this;
        }
        applyTransforms(p) {
            if (!this.transforms) return p;
            let pt = [...p];
            this.transforms.map(t => { pt = t(pt); });
            return pt;
        }
        goto(x, y) {
            const p = Array.isArray(x) ? [...x] : [x, y];
            const pt = this.applyTransforms(p);
            if (this.isdown() && (this.pt[0]-pt[0])**2 + (this.pt[1]-pt[1])**2 > 4) {
               this.goto((this.ps[0]+p[0])/2, (this.ps[1]+p[1])/2);
               this.goto(p);
            } else {
                super.goto(pt);
                this.ps = p;
                this.pt = pt;
            }
        }
        position() { return this.ps; }
    }
    return new Tortoise(x,y);
}