A Learnable Artificial Bee Colony Algorithm for Numerical Function Optimization

Xiangbo Qi (), Yunlong Zhu (), Lin Nan and Lianbo Ma ()
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Xiangbo Qi: Chinese Academy of Sciences
Yunlong Zhu: Chinese Academy of Sciences
Lin Nan: Chinese Academy of Sciences
Lianbo Ma: Chinese Academy of Sciences

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 349-360 from Springer

Abstract: Abstract To improve optimizing performance of artificial bee colony (ABC), a new algorithm called learnable artificial bee colony (LABC) is presented in this paper. The new algorithm employs some available knowledge from the two optimization phases to guide the next optimization process. Eight benchmark functions are used to validate its optimization effect. The experimental results show that LABC outperforms ABC and particle swarm optimization (PSO) on most benchmark functions. LABC provides a new reference for improving optimization performance of ABC.

Keywords: Artificial Bee Colony; Learnable Artificial Bee Colony; Particle Swarm Optimization (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_35

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DOI: 10.1007/978-3-642-40063-6_35

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