javascript(clever-dots): Add files via upload
Signed-off-by: prescientmoon <git@moonythm.dev>
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javascript/clever-dots
197
javascript/clever-dots/population.js
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197
javascript/clever-dots/population.js
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function population(game){
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this.max = 50;
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this.top = 4;
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this.game = game;
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if (this.max < this.top){
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this.top = this.max;
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}
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this.Population = [];
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this.scale = 200;
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this.reset = function(){
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this.iteration = 1;
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this.mutateRate = 1;
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this.best_population = 0;
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this.best_fitness = 0;
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this.best_score = 0;
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}
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this.create_population = function(){
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this.Population = [];
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for (var i=0; i<this.max; i++){
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var newUnit = new synaptic.Architect.Perceptron(5, 32, 4);
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newUnit.index = i;
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newUnit.fitness = 0;
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newUnit.score = 0;
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newUnit.isWinner = false;
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newUnit.x = 250;
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newUnit.y = 100;
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//newUnit.round = 0;
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this.Population.push(newUnit);
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}
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}
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this.think = function(unit){
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var inputs = [500,500,unit.x,unit.y,dist(unit.x,unit.y,500,500)];
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var outputs = this.Population[unit.index].activate(inputs);
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var max = outputs.indexOf((Math.max.apply( Math,outputs)));
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//console.log(Math.max.apply( Math,outputs));
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if (max == 0 && unit.y >= 0){
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unit.y -= 1;
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}
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else if (max == 2 && unit.y <= 500){
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unit.y += 1;
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}
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else if (max == 1 && unit.x <= 500){
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unit.x += 1;
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}
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else if (max == 3 && unit.x >= 0){
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unit.x -= 1;
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}
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//unit.round++;
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//this.game.draw(unit.x,unit.y);
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unit.fitness = dist(unit.x,unit.y,0,0);
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//console.log(max+"evolving"+outputs);
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}
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this.evolve = function(){
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var Winners = this.select();
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if (this.mutateRate == 1 && Winners[0].fitness < 0){
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this.create_population();
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}
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else{
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this.mutateRate = 0.2;
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}
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for (var i=this.top; i<this.max; i++){
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var parentA, parentB, offspring;
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if (i == this.top){
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parentA = Winners[0].toJSON();
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parentB = Winners[1].toJSON();
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offspring = this.crossOver(parentA, parentB);
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} else if (i < this.max-2){
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parentA = this.getRandomUnit(Winners).toJSON();
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parentB = this.getRandomUnit(Winners).toJSON();
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offspring = this.crossOver(parentA, parentB);
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} else {
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offspring = this.getRandomUnit(Winners).toJSON();
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}
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// mutate the offspring
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offspring = this.mutation(offspring);
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// create a new unit using the neural network from the offspring
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var newUnit = synaptic.Network.fromJSON(offspring);
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newUnit.index = this.Population[i].index;
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newUnit.fitness = 0;
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newUnit.score = 0;
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newUnit.isWinner = false;
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newUnit.x = 250;
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newUnit.y = 100;
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//newUnit.round = 0;
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// update population by changing the old unit with the new one
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this.Population[i] = newUnit;
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}
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this.Population.sort(function(unitA, unitB){
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return unitA.index - unitB.index;
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});
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}
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this.select = function(){
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var sortedPopulation = this.Population.sort(
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function(unitA, unitB){
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return unitB.fitness - unitA.fitness;
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}
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);
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for (var i=0; i<this.top; i++){
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this.Population[i].isWinner = true;
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}
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return sortedPopulation.slice(0, this.top);
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}
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this.crossOver = function(parentA, parentB){
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var cutPoint = this.random(0, parentA.neurons.length-1);
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for (var i = cutPoint; i < parentA.neurons.length; i++){
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var biasFromParentA = parentA.neurons[i]['bias'];
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parentA.neurons[i]['bias'] = parentB.neurons[i]['bias'];
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parentB.neurons[i]['bias'] = biasFromParentA;
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}
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cutPoint = this.random(0, parentA.connections.length-1);
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for (var i = cutPoint; i < parentA.connections.length; i++){
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var weightFromParentA = parentA.connections[i]['weight'];
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parentA.connections[i]['weight'] = parentB.connections[i]['weight'];
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parentB.connections[i]['weight'] = weightFromParentA;
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}
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return this.random(0, 1) == 1 ? parentA : parentB;
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}
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this.mutation = function(offspring){
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for (var i = 0; i < offspring.neurons.length; i++){
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offspring.neurons[i]['bias'] = this.mutate(offspring.neurons[i]['bias']);
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}
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for (var i = 0; i < offspring.connections.length; i++){
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offspring.connections[i]['weight'] = this.mutate(offspring.connections[i]['weight']);
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}
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return offspring;
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}
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this.mutate = function(gene){
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if (Math.random() < this.mutateRate) {
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var mutateFactor = 1 + ((Math.random() - 0.5) * 3 + (Math.random() - 0.5));
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gene *= mutateFactor;
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}
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return gene;
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}
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this.random = function(min, max){
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return Math.floor(Math.random()*(max-min+1) + min);
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}
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this.getRandomUnit = function(array){
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return array[this.random(0, array.length-1)];
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}
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}
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function dist(x1,y1,x2,y2){
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var x = x2 - x1;
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var y = y2 - y1;
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return Math.sqrt(Math.pow(x,2) + Math.pow(y,2));
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}
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