两阶段鹰策略的人工蜂群算法

2013 Ninth International Conference on Computational Intelligence and Security Pub Date : 2013-12-14 DOI:10.1109/CIS.2013.11

Rui-min Jia, Deng-xu He

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引用次数: 5

摘要

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。

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Artificial Bee Colony Algorithm with Two-Stage Eagle Strategy

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.

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2013 Ninth International Conference on Computational Intelligence and Security

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