galgo

Library to calculate minimal and maximum solutions using Genetic Algorithm.

Current specs:
- Each solution for a population generates 2 children solutions
- Only best 50% of generate children survive to generate next solutions
- No parents surviving

Using

var galgo = require('galgo');
galgo.fitnessFunction = myFitnessFunction;
galgo.options = myOptions; // optionally set 1 or more options (or replace by its own)
var result = galgo.run();

Options

Options with default values, that can be changed through galgo.options:

options: {
chromosomeLength: 10, // length of encoding array of bits
generationsQty: 5, // quantity of generations to run (#iterations)
mutationProbability: 0.02, // probability of mutation occur on next generation of a solution: [0, 1]
populationSize: 10000 // size of solutions per generation,
interval: { // interval of accepted solution
min: -2,
max: 2
}
}

Fitness Function

On this initial version, galgo expects fitness function, or fitness function, only with 1 or 2 variables.

It's defined by galgo.fitnessFunction:

var galgo = require('galgo');
galgo.fitnessFunction = function myFitnessFn(x, y) {
return x x + 4 y y + 4 y + x;
}

TODO

- #1: Allow n variables in fitness function
- #2: Choose to min or max the fitness function
- #3: Allow Elitism
- #4: Surviving parents with max-age option