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Improved artificial bee colony algorithm based on escaped foraging strategy

机译:改进的基于转义觅食策略的人造蜂殖民地算法

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This paper presents an improved artificial bee colony algorithm. Under the framework of the basic artificial bee colony algorithm, this paper redefines the artificial bee colony and introduces search strategies for group escape and foraging based on Levy flight. The proposed algorithm is named artificial bee colony algorithm based on escaped foraging strategy (EFSABC).There are different strategies for scout bees, onlookers, and free bees searching for honey sources in the EFSABC: all working bees relinquish old honey sources due to disturbance, and select different routines to seek new honey sources. Sixteen typical high-dimensional standard functions are used to verify the effectiveness of the proposed algorithm. The EFSABC algorithm outperforms the traditional artificial bee colony algorithm in all aspects.
机译:本文提出了一种改进的人造群菌落算法。 在基本人工蜂殖民地算法的框架下,本文重新定义了人工蜂殖民地,并介绍了基于征税飞行的小组逃生和觅食的搜索策略。 该算法基于转义的觅食策略(EFSABC)命名为人造蜂殖民地算法 并选择不同的例程寻求新的蜂蜜来源。 十六个典型的高维标准功能用于验证所提出的算法的有效性。 EFSABC算法在各方面的传统人造群菌落算法优于胜过。

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