Introduction • Installation • Usage • Roadmap • Contributing • Authors • License
Evolutionary computing is one of the main techniques nowadays for solving complex optimization problems. This library provides with the basic structure for implementing the most common evolutionary algorithms, such as genetic algorithms.
Evolutionary algorithms basic structure
Evolutionary algorithms are composed basically by four elements:
This framework is going to provide the most common techniques for each component.
Currently project is under development (no stable version released :warning:), but it is going to be installed through npm:
npm install genetics-js
No major versions have been released, so only Individuals creation is implemented:
import Genetics from 'genetics-js';
const { BinaryIndividual } = Genetics.individual;
let individual = new BinaryIndividual('001100');
individual.genotype // [false, false, true, true, false, false]
The roadmap is strictly determined by the operations that are going to be implemented:
v0.1.0
: Implementation of individuals.v0.2.0
: Implementation of mutation operators.v0.3.0
: Implementation of recombination operators.v0.4.0
: Implementation of parent selection methods.v0.5.0
: Implementation of survivor selection methods.v0.6.0
: Implementation of population and offspring management.v0.7.0
: Implementation of common evolutionary algorithms with fixed configurations.The library has been successfully used in the following projects:
You can report a bug, or request a feature with an issue:
Any help would be welcome :smile:.
This project is licensed under the MIT License
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