Cloud theory-based artificial fish swarm algorithm

doi:10.3778/j.issn.1002-8331.2010.22.009

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (22): 26-29.DOI: 10.3778/j.issn.1002-8331.2010.22.009

• 研究、探讨 • Previous Articles Next Articles

Cloud theory-based artificial fish swarm algorithm

WEI Xiu-xi¹，ZENG Hai-wen¹，ZHOU Yong-quan²

1.Information Engineering Department，Guangxi International Business Vocational College，Nanning 530007，China
2.College of Computer and Information Science，Guangxi University for Nationalities，Nanning 530006，China

Received:2009-12-01 Revised:2010-03-18 Online:2010-08-01 Published:2010-08-01
Contact: WEI Xiu-xi

云人工鱼群算法

韦修喜¹，曾海文¹，周永权²

1.广西国际商务职业技术学院信息工程系，南宁 530007
2.广西民族大学数学与计算机科学学院，南宁 530006

通讯作者: 韦修喜

Abstract

Abstract: A novel artificial fish swarm algorithm，Cloud model-based Artificial Fish Swarm Algorithm（CAFSA） is proposed，CAFSA which is used for optimizing complex nonlinear function is based on both the idea of AFSA and the properties of randomness and stable tendency of a normal cloud model.Finally，the numerical experiment results show that this method not only can effectively locate the global optimum，but also have a rather high convergence speed.It is believed that CAFSA will become a promising candidate of evolutionary algorithms.

摘要： 借鉴人工鱼群算法的思想，利用云模型云滴的随机性和稳定倾向性的特点，提出了一种新的人工鱼群算法——云人工鱼群算法，并用于求解具有变量边界约束的非线性的复杂函数最优化问题。计算机仿真结果表明，云人工鱼群算法具有计算精度较高，搜索速度较快等特点，具有一定的参考和应用价值。

CLC Number:

TP18

WEI Xiu-xi¹，ZENG Hai-wen¹，ZHOU Yong-quan². Cloud theory-based artificial fish swarm algorithm[J]. Computer Engineering and Applications, 2010, 46(22): 26-29.

韦修喜¹，曾海文¹，周永权². 云人工鱼群算法[J]. 计算机工程与应用, 2010, 46(22): 26-29.

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Cloud theory-based artificial fish swarm algorithm

云人工鱼群算法

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