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计算机系统应用英文版:2011,20(5):199-201

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一种改进的人工鱼群算法

张严¹, 楚晓丽²

(1.广东商学院教育技术中心，广州 512320;2.桂林电子科技大学计算机与控制学院，桂林 541004)

Advanced Artificial Fish Swarm Algorithm

ZHANG Yan¹, CHU Xiao-Li²

(1.Center of Education Technology, Guangdong University of Business Studies, Guangzhou 512320, China;2.College of Computer and Control, Guilin University of Electronic and Technology, Guilin 541004, China)

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本文已被：浏览 1838次下载 4145次
Received:August 24, 2010 Revised:October 04, 2010

中文摘要: 提出一种改进的人工鱼群算法，对其觅食行为、追尾行为与移动策略进行改进，设定特殊觅食行为，约束群聚行为的拥挤度区间，协调移动策略，以保障每条鱼的成功觅食，避免鱼群出现早熟现象，提高全局寻优能力。最后通过实验仿真验证了该算法的有效性与精确性。

中文关键词: 人工鱼群算法特殊觅食拥挤度上下限移动策略

Abstract:An advanced artificial fish swarm algorithm is presented. The algorithm improves fish’s preying behavior, following behavior and moving method. It ensures each fish’s preying successfully, to avoid fish swarm’s early-ripe and to enhance global optimizing ability, by setting special preying behavior, restraining congestion degree interval of swarming behavior and altering moving method. It proves the algorithm’s effectiveness and accuracy by experimental simulation at last.

keywords: artificial fish swarm algorithm special preying behavior max-min bound of congestion degree moving method

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基金项目:

Author Name	Affiliation
ZHANG Yan	Center of Education Technology, Guangdong University of Business Studies, Guangzhou 512320, China
CHU Xiao-Li	College of Computer and Control, Guilin University of Electronic and Technology, Guilin 541004, China

Author Name	Affiliation
ZHANG Yan	Center of Education Technology, Guangdong University of Business Studies, Guangzhou 512320, China
CHU Xiao-Li	College of Computer and Control, Guilin University of Electronic and Technology, Guilin 541004, China

引用文本：
张严,楚晓丽.一种改进的人工鱼群算法.计算机系统应用,2011,20(5):199-201
ZHANG Yan,CHU Xiao-Li.Advanced Artificial Fish Swarm Algorithm.COMPUTER SYSTEMS APPLICATIONS,2011,20(5):199-201