文章基本信息

标题：IMPROVED ARTIFICIAL FISH SWARM ALGORITHM AND ITS APPLICATION IN OPTIMAL DESIGN OF TRUSS STRUCTURE
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作者：YANCANG LI ; CHENGUANG BAN ; SHUJING ZHOU 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：45
期号：1
页码：174-178
出版社：Journal of Theoretical and Applied
摘要：To overcome the defects of Artificial Fish-Swarm Algorithm, an adaptive particle swarm optimization was proposed. The new algorithm employs the inertia weight adjustment strategy to dynamically adjust the idea of artificial fish's visual and step on the basic artificial fish. The chaotic early initialization was employed to improve the quality of group solutions of artificial fish. Then, it was applied to the optimal design of truss structures in size. Engineering practice and comparison with the other optimization algorithms show that the algorithm has good convergence and stability.
关键词：Artificial Fish-Swarm Algorithm; Adaptive; Truss; Structure Optimization; Chaos