A Novel Hybrid Bat Algorithm Based on Tent Map and Mutation Operator
Kairong Zhang, Xueqin Tang, Yaohui Zhang, Jian Gu
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.31How to use a DOI?
- Bat Algorithm; Local Optimum; Tent Map; Genetic Algorithm; Mutation Operator
- Standard bat algorithm is easy to fall into local optimum to handle complex functions with high- dimension. This paper proposes a hybrid chaotic mutation bat algorithm handling local convergence. The chaotic variables and mutation operator are introduced to bat algorithm to enhance its global search ability. The simulation experimental results based on typical test functions show that the improved algorithm can effectively improve the global optimization ability of the bat algorithm and significantly improve the accuracy of the algorithm optimization and convergence efficiency.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Kairong Zhang AU - Xueqin Tang AU - Yaohui Zhang AU - Jian Gu PY - 2016/10 DA - 2016/10 TI - A Novel Hybrid Bat Algorithm Based on Tent Map and Mutation Operator BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 239 EP - 246 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.31 DO - https://doi.org/10.2991/ceie-16.2017.31 ID - Zhang2016/10 ER -