An improved self-adaptive bat algorithm

DOI

10.2991/icmmcce-17.2017.273How to use a DOI?

Keywords

Bat algorithm; Self-adaptive; Step-controlled mechanism; Mutation mechanism

Abstract

Considering the problems of low solution precision and suffering from pre-mature convergence by the basic bat algorithm, an improved self-adaptive bat algorithm (SABA) is proposed after the introduction of the self-adaptive step-controlled mechanism and mutation mechanism in this paper. The results of the proposed algorithm based on 6 test functions indicate that compared with the particle swarm algorithm and the basic bat algorithm, the SABA algorithm effectively avoid falling into the local optimum in the early stage and had the higher solution accuracy.

Copyright

© 2017, 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  - Shilei Lyu
AU  - Yonglin Huang
AU  - Zhen Li
AU  - Yueju Xue
PY  - 2017/09
DA  - 2017/09
TI  - An improved self-adaptive bat algorithm
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1556
EP  - 1560
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.273
DO  - 10.2991/icmmcce-17.2017.273
ID  - Lyu2017/09
ER  -