期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2012
卷号：1
期号：1
页码：5-8
语种：English
出版社：World Science Publisher
摘要：Global optimization is a hot topic of applied mathematics and numerical analysis that deals with the optimization of a function or a set of functions. In this paper we proposed a hybrid restarted simulated annealing particle swarm optimization (RSAPSO) technique to find global minima more efficiently and robustly. The proposed RSAPSO combines the global search ability of PSO and the local search ability of RSA, and offsets the weaknesses of each other. The four benchmark functions demonstrate the superiority of our algorithm.
