The Open Cybernetics & Systemics Journal

2017, 11 : 1-12
Published online 2017 January 25. DOI: 10.2174/1874110X01711010001
Publisher ID: TOCSJ-11-1

RESEARCH ARTICLE
 Brief Review of Techniques Used to Develop Adaptive Evolutionary Algorithms

José Alberto Bonilla-Vera , Jaime Mora-Vargas, * , Miguel González-Mendoza , Iván Adrian López-Sánchez and César Jaime Montiel-Moctezuma

* Address correspondence to this author at the Carretera Lago de Guadapule km 3.5. Colonia Margarita Maza de Juarez, CP 52926, Atizapan de Zaragoza, EdoMex, Mexico; Tel: +525558645957; Fax: +525558645969; E-mails: , jmora@itesm.mx

ABSTRACT

This paper presents a brief review of techniques used to allow evolutionary algorithms to adapt to optimization problems in dynamic environments, through exploration of the control parameters of genetic algorithms as well as genotypic interpreters. A description of some of the most used evolutionary techniques is included, with major emphasis on genetic algorithms and their relationship with the problem of adaptation to the environment. The article also discusses state used models to tackle these kinds of problems, including self-adaptation and genotype- phenotype mapping.

Keywords:

Adaptation, Evolutionary algorithms, Genetic algorithms, Genotype-phenotype mapping.