A Simulative Bionic Intelligent Optimization Algorithm: Artificial Searching Swarm Algorithm and Its Performance Analysis

摘要：

In this paper, a novel optimization algorithm -Artificial Searching Swarm Algorithm (ASSA) is presented by analyzing the operating principle and uniform framework of the Bionic Intelligent Optimization Algorithm. ASSA simulates the process of solving optimal design problem to the process of searching optimal goal by searching swarm with the set rules, and finds the optimal solution through the search and cooperation of the searching individual. The algorithm has easy programmable character, and has strong global searching ability. The simulative tests prove the validity of the proposed algorithm.

作者: Tanggong Chen

作者单位: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1914-1916

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）