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Artificial bee colony algorithm: a survey

机译:人工蜂群算法:一项调查

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摘要

In recent years, swarm intelligence has proven its importance for the solution of those problems that cannot be easily dealt with classical mathematical techniques. The foraging behaviour of honey bees produces an intelligent social behaviour and falls in the category of swarm intelligence. Artificial bee colony (ABC) algorithm is a simulation of honey bee foraging behaviour, established by Karaboga in 2005. Since its inception, a lot of research has been carried out to make ABC more efficient and to apply it on different types of problems. This paper presents a review on ABC developments, applications, comparative performance and future research perspectives.
机译:近年来,群体智能已证明其对于解决经典数学技术无法轻易解决的那些问题的重要性。蜜蜂的觅食行为会产生一种聪明的社交行为,并属于群体智能类别。人工蜂群(ABC)算法是Karaboga于2005年建立的一种模拟蜜蜂觅食行为的算法。自成立以来,已进行了大量研究以提高ABC的效率并将其应用于各种类型的问题。本文介绍了ABC的发展,应用,比较性能和未来研究前景。

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