Application Study of an Improved Chaos Genetic Algorithm

DOI

10.2991/ameii-15.2015.303How to use a DOI?

Keywords

chaos; genetic algorithm; application study.

Abstract

This paper presents an improved genetic algorithm based on chaotic characteristics, main combining with the rapid global convergence of genetic algorithm and optimization of chaotic sequence, through the singularity and the complexity of chaotic system to improve mutation operator of algorithm to obtain a better multi-objective optimal solution. At the same time, the application of the improved algorithm to the test process not only enriches the multi-objective optimization theory, but also provides an effective way to design an effective chaotic genetic algorithm.

Copyright

© 2015, 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  - ChaoGang Wang
PY  - 2015/04
DA  - 2015/04
TI  - Application Study of an Improved Chaos Genetic Algorithm
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1639
EP  - 1642
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.303
DO  - 10.2991/ameii-15.2015.303
ID  - Wang2015/04
ER  -