Artificial Bee Colony Algorithm with Two-Stage Eagle Strategy

Rui-min Jia, Deng-xu He
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引用次数: 5

Abstract

Pointing at that Artificial Bee Colony Algorithm (ABC) has the defect of slow search speed and low precision, the article proposed an Improved Artificial Bee Colony Algorithm with Two-Eagle Strategy (ETABC) through using a kind of optimization method-Eagle Strategy, and proved the convergence of ETABC. The simulation results show that ETABC is more effective in solving optimization problems.
两阶段鹰策略的人工蜂群算法
针对人工蜂群算法(Artificial Bee Colony Algorithm, ABC)存在搜索速度慢、精度低的缺陷,采用一种优化方法——鹰策略,提出了一种改进的双鹰策略人工蜂群算法(Two-Eagle Strategy, ETABC),并证明了ETABC的收敛性。仿真结果表明,ETABC算法在求解优化问题时更为有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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