计算机与现代化 ›› 2010, Vol. 1 ›› Issue (01): 7-11.doi: 10.3969/j.issn.1006-2475.2010.01.003
• 算法分析与设计 • 上一篇 下一篇
李海生
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LI Hai-sheng
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摘要： 利用蜂群的群智能行为特征及其采集行为机制，能够设计出有效的智能算法及人工系统。这是一个较新的研究方向，近年来国内外许多学者已对该研究方向进行了广泛探索。本文阐述两个主要的基于蜜蜂采集模型的智能优化算法，蜂群算法（Bees Algorithm, BA）和人工蜂群算法（Artificial Bee Colony, ABC），并简要介绍其它一些该类智能算法。
关键词: 采集模型, 群智能, 摇摆舞, BA, ABC
Abstract: Using the feature of bee’s swarm intelligence and mechanism of its foraging behavior, efficient intelligence algorithm and artificial system can be designed. This is a new research direction. Recently, many researchers have explored it extensively. This paper expatiates on two typical intelligence optimization algorithms that based on bee foraging model, named Bees Algorithm (BA) and Artificial Bee Colony (ABC), and gaves a brief description of other intelligence algorithms of this type.
Key words: foraging model, swarm intelligence, waggle dance, BA, ABC
中图分类号:
TP301.6
李海生. 一类基于蜜蜂采集模型的智能算法[J]. 计算机与现代化, 2010, 1(01): 7-11.
LI Hai-sheng. A Set of Intelligence Algorithm Based on Bee Foraging Model[J]. Computer and Modernization, 2010, 1(01): 7-11.
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