A Grid-based Genetic Algorithm for Multimodal Real Function Optimization

Jose M. Chaquet; Enrique J. Carmona

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Paper

A Grid-based Genetic Algorithm for Multimodal Real Function Optimization

Topics: Evolutionary Multiobjective Optimization; Genetic Algorithms

In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 0IJCCI, 158-163, 2012 , Barcelona, Spain

Authors: Jose M. Chaquet and Enrique J. Carmona

Affiliation: Universidad Nacional de Educación a Distancia, Spain

Keyword(s): Genetic Algorithm, Multimodal Real Functions, Grid-based Optimization, Integer-real Representation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: A novel genetic algorithm called GGA (Grid-based Genetic Algorithm) is presented to improve the optimization of multimodal real functions. The search space is discretized using a grid, making the search process more efficient and faster. An integer-real vector codes the genotype and a GA is used for evolving the population. The integer part allows us to explore the search space and the real part to exploit the best solutions. A comparison with a standard GA is performed using typical benchmarking multimodal functions from the literature. In all the tested problems, the proposed algorithm equals or outperforms the standard GA.

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Paper citation in several formats:

M. Chaquet, J. and J. Carmona, E. (2012). A Grid-based Genetic Algorithm for Multimodal Real Function Optimization. In Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA; ISBN 978-989-8565-33-4; ISSN 2184-3236, SciTePress, pages 158-163. DOI: 10.5220/0004114401580163

@conference{ecta12,
author={Jose {M. Chaquet}. and Enrique {J. Carmona}.},
title={A Grid-based Genetic Algorithm for Multimodal Real Function Optimization},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA},
year={2012},
pages={158-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004114401580163},
isbn={978-989-8565-33-4},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA
TI - A Grid-based Genetic Algorithm for Multimodal Real Function Optimization
SN - 978-989-8565-33-4
IS - 2184-3236
AU - M. Chaquet, J.
AU - J. Carmona, E.
PY - 2012
SP - 158
EP - 163
DO - 10.5220/0004114401580163
PB - SciTePress