Artificial bee colony algorithm with memory

Xianneng Li, Guangfei Yang

研究成果: Article査読

110 被引用数 (Scopus)

抄録

Artificial bee colony algorithm (ABC) is a new type of swarm intelligence methods which imitates the foraging behavior of honeybees. Due to its simple implementation with very small number of control parameters, many efforts have been done to explore ABC research in both algorithms and applications. In this paper, a new ABC variant named ABC with memory algorithm (ABCM) is described, which imitates a memory mechanism to the artificial bees to memorize their previous successful experiences of foraging behavior. The memory mechanism is applied to guide the further foraging of the artificial bees. Essentially, ABCM is inspired by the biological study of natural honeybees, rather than most of the other ABC variants that integrate existing algorithms into ABC framework. The superiority of ABCM is analyzed on a set of benchmark problems in comparison with ABC, quick ABC and several state-of-the-art algorithms.

本文言語English
ページ(範囲)362-372
ページ数11
ジャーナルApplied Soft Computing Journal
41
DOI
出版ステータスPublished - 2016 4 1
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア

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