The application of swarm activity based bat algorithm in constrained optimization

DOI

10.2991/ic3me-15.2015.251How to use a DOI?

Keywords

Bat algorithm; Constrained optimization; Adaptive penalty function; Swarm activity

Abstract

A solving method for constrained optimization problems was designed by combining adaptive penalty function (APF) method and an improved bat algorithm (IBA) based on swarm activity. Firstly, the authors proposed a kind of APF method. And then considering the conditions of constraint violations and the characteristics of evolutionary process, the IBA based on swarm activity was put forward. On this basis, APF method and IBA were combined together to solve constrained optimization problems. Finally, it was demonstrated by simulation that the solving method for constrained optimization was feasible and effective.

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  - Tiebin Wu
AU  - Wen Long
AU  - Yunlian Liu
AU  - Xinjun L
PY  - 2015/08
DA  - 2015/08
TI  - The application of swarm activity based bat algorithm in constrained optimization
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1309
EP  - 1313
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.251
DO  - 10.2991/ic3me-15.2015.251
ID  - Wu2015/08
ER  -