A Hybrid Evolution Algorithm with Application Based on Chaos Genetic Algorithm and Particle Swarm Optimization

DOI

10.2991/citcs.2012.163How to use a DOI?

Keywords

chaotic genetic algorithm, particle swarm optimization, hybrid evolution algorithm, algorithm design, continuous optimization

Abstract

Aiming at the complex function extreme value and non-linear system model parameters adjust, a hybrid optimization algorithm based on chaos GA combined with PSO is proposed in the paper. With application of applying experience of PSO, sharing information of GA, and traversing pathway of chaos, the adaptive switching of two algorithms are implemented through estimating the fitness and optimization efficiency, which may quickly obtain the global optimal solution. The proposed algorithm is applied to the function extreme optimizing and the parameter adjusting of fuzzy controller, and the experimental results show that the optimization ability of proposed algorithm is obviously superior to the single one, and that the integration of some intelligent optimization algorithms is a potential research direction.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Fu
AU  - Bing Wang
AU  - Shao-Hua Xu
PY  - 2012/11
DA  - 2012/11
TI  - A Hybrid Evolution Algorithm with Application Based on Chaos Genetic Algorithm and Particle Swarm Optimization
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 635
EP  - 639
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.163
DO  - 10.2991/citcs.2012.163
ID  - Fu2012/11
ER  -