Brief Review of Techniques Used to Develop Adaptive Evolutionary Algorithms
José Alberto Bonilla-Vera, Jaime Mora-Vargas*, Miguel González-Mendoza, Iván Adrian López-Sánchez, César Jaime Montiel-Moctezuma
Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey Area, Mexico
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.
Article Information
Article History:
Received Date: 07/10/2015
Revision Received Date: 24/08/2016
Acceptance Date: 04/10/2016
Electronic publication date: 25/01/2017
Collection year: 2017
© Bonilla-Vera et al.; Licensee Bentham Open
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
* 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, j_mora_vargas@hotmail.com
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Manuscript submitted on 07-10-2015 |
Original Manuscript |
Brief Review of Techniques Used to Develop Adaptive Evolutionary Algorithms |