Three Real-Coded Genetic Algorithms With New Mutation Operators

DOI

10.2991/iske.2007.259How to use a DOI?

Keywords

Function optimization, Genetic algorithm, Real-coded, Mutation operator.

Abstract

Local search is mainly implemented by the reproduction and crossover operation, global search is assured by the mutation operation in conventional genetic algorithm. In order to enhance the global search ability, three new mutation operators are proposed based on the idea that big change into small and small change into big for gene bit selected at random. The experimental verification shows that the proposed new genetic algorithms with new mutation operators are effective in seeking for the global optimal solutions.

Copyright

© 2007, 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  - Guoli Zhang
AU  - Guangquan Zhang
AU  - Jianwei Ma
AU  - Chunlei Zhou
PY  - 2007/10
DA  - 2007/10
TI  - Three Real-Coded Genetic Algorithms With New Mutation Operators
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1520
EP  - 1523
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.259
DO  - 10.2991/iske.2007.259
ID  - Zhang2007/10
ER  -