Bat Algorithm with Individual Local Search - Intelligence Science II Third IFIP TC 12 International Conference, ICIS 2018 Access content directly
Conference Papers Year : 2018

Bat Algorithm with Individual Local Search

Maoqing Zhang
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  • PersonId : 1046610
Zhihua Cui
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  • PersonId : 1033433
Yu Chang
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  • PersonId : 1046611
Yeqing Ren
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  • PersonId : 1046612
Xingjuan Cai
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  • PersonId : 1046613
Hui Wang
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  • PersonId : 1046614


Bat algorithm (BA) is a well-known heuristic algorithm, and has been applied to many practical problems. However, the local search method employed in BA has the shortcoming of premature convergence, and does not perform well in early search stage. To avoid this issue, this paper proposes a new update method for local search. To verify the proposed method, this paper employs CEC2013 test suit to test it with PSO and standard BA as comparison algorithms. Experimental results demonstrate that the proposed method obviously outperforms other algorithms and exhibits better performance.
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Dates and versions

hal-02118807 , version 1 (03-05-2019)





Maoqing Zhang, Zhihua Cui, Yu Chang, Yeqing Ren, Xingjuan Cai, et al.. Bat Algorithm with Individual Local Search. 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.442-451, ⟨10.1007/978-3-030-01313-4_47⟩. ⟨hal-02118807⟩
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