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Modified Artificial Bees Colony algorithm with Nelder-Mead search algorithm

机译:具有Nelder-Mead搜索算法的修改人工蜂殖民地算法

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In this paper, a new Artificial Bee Colony (ABC) called NM-ABC which integrates NM into original ABC has been developed. ABC algorithm is one of the most recent biological-inspired optimization algorithm proposed in year 2005. ABC is inspired by the foraging behavior of honey bee swarm. The exploration and exploitation are two important mechanisms in ABC. Exploitation process starts when the employed bees approach to the food sources. However, ABC can perform better during exploration stage but weaker at exploitation stage. In this study, the exploitation search stage has been integrated with Nelder-Mead Simplex Method (NM). The numerical results shown that the NM-ABC can perform better than the original ABC with less colony size and number of cycle allocated.
机译:本文开发了一种新的人造群菌落(ABC),被赋予NM-ABC将NM集成到原稿ABC中。 ABC算法是2005年建议的最新生物启发优化算法之一。ABC是由蜜蜂群的觅食行为的启发。勘探和剥削是ABC中的两个重要机制。开发过程开始,当采用蜜蜂进入食物来源时开始。然而,ABC在探索阶段可以更好地表现更好,但剥削阶段较弱。在本研究中,利用搜索阶段已与Nelder-Mead Simplex方法(NM)集成。数字结果表明,NM-ABC可以比原始ABC更好地执行,具有较少的菌落大小和分配的周期数。

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