A Hybrid Bacterial Foraging Optimization based on Time-varying Chemotaxis Step and Dynamic Topology Structure
Authors
Chen Guo, Zhiwen Guo, Ben Niu, Ying Bi
Corresponding Author
Chen Guo
Available Online April 2015.
- DOI
- 10.2991/mebe-15.2015.135How to use a DOI?
- Keywords
- Bacterial foraging optimization; Time-varying chemotaxis step; Dynamic topology structure.
- Abstract
In this paper, we present a hybrid bacterial foraging optimization (HBFO) by combining the time-varying chemotaxis step strategies with dynamic topology structure. Specifically, we adopt four kinds of time-varying chemotaxis step methods which use the dynamic topology structure to improve convergence rate, searching accuracy and optimal value. Four different benchmark functions are selected as testing functions to compare traditional BFO with HBFOs and the experimental results validate the efficiency of the proposed algorithms in terms of convergence speed and solution quality.
- 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/).
Cite this article
TY - CONF AU - Chen Guo AU - Zhiwen Guo AU - Ben Niu AU - Ying Bi PY - 2015/04 DA - 2015/04 TI - A Hybrid Bacterial Foraging Optimization based on Time-varying Chemotaxis Step and Dynamic Topology Structure BT - Proceedings of the 2015 International Conference on Materials, Environmental and Biological Engineering PB - Atlantis Press SP - 587 EP - 590 SN - 2352-5401 UR - https://doi.org/10.2991/mebe-15.2015.135 DO - 10.2991/mebe-15.2015.135 ID - Guo2015/04 ER -