@zfunction/genetics-js/lib/mutation/base/UniformMutation.js

Genetic and evolutionary algorithms framework for the web

"use strict";
/*
 * @license
 * Copyright (c) 2019 Cristian Abrante. All rights reserved.
 * Licensed under the MIT License. See LICENSE in the project root for license information.
 */
var __extends = (this && this.__extends) || (function () {
    var extendStatics = function (d, b) {
        extendStatics = Object.setPrototypeOf ||
            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||
            function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };
        return extendStatics(d, b);
    };
    return function (d, b) {
        extendStatics(d, b);
        function __() { this.constructor = d; }
        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());
    };
})();
Object.defineProperty(exports, "__esModule", { value: true });
var utils_1 = require("../../generator/utils");
var MutationBase_1 = require("./MutationBase");
var UniformMutation = /** @class */ (function (_super) {
    __extends(UniformMutation, _super);
    function UniformMutation() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    UniformMutation.checkMutationRate = function (mutationRate) {
        if (!utils_1.Generator.probabilityIsValid(mutationRate)) {
            throw new Error("Error: Mutation rate " + mutationRate + " is not in range [0.0 - 1.0]");
        }
    };
    UniformMutation.prototype.mutate = function (individual, mutationRate, engine) {
        if (mutationRate === void 0) { mutationRate = 0.5; }
        if (engine === void 0) { engine = utils_1.Generator.DEFAULT_ENGINE; }
        this.mutateWith(individual, { mutationRate: mutationRate, engine: engine });
    };
    UniformMutation.prototype.mutateWith = function (individual, params) {
        UniformMutation.checkMutationRate(params.mutationRate);
        _super.prototype.mutateWith.call(this, individual, params);
    };
    UniformMutation.prototype.mutateGene = function (individual, index, params) {
        var threshold = utils_1.Generator.generateProbability(params.engine);
        if (threshold <= params.mutationRate) {
            this.mutateGeneUniformly(individual, index, params);
        }
    };
    return UniformMutation;
}(MutationBase_1.MutationBase));
exports.UniformMutation = UniformMutation;
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