标题：An Improvement of AFSA in Global Search with Scout Swarms
作者：Guo, Tian; Zhao, Heji
作者机构：[Guo, Tian; Zhao, Heji] Shandong Univ, Jinan 250100, Shandong, Peoples R China.
会议名称：International Conference on Advanced Computer Science and Electronics Information (ICACSEI)
会议日期：JUL 25-26, 2013
来源：PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ELECTRONICS INFORMATION (ICACSEI 2013)
关键词：AFSI (Artificial Fish Swarm Intelligence); Scout-AFSA; Global Search
摘要：Since the emergence of AFSA (Artificial Fish Swarm Algorithm), because of a lot of good features in solving complex optimization problems, AFSA has been studied by scholars from domestic and overseas, however it also has some shortcomings such as high time complexity, lack of balance between global search and local search. In recent years lots of researchers have attempted to improve this algorithm. In this paper, a new improvement will be introduced to solve its ability of balance between global search and local search, and its name is Scout-AFSA (Scout-Artificial Fish Swarm Algorithm). And the final experiment results show that Scout-AFSA does work better than AFSA in global search.