文献类型：会议论文

英文题名：Five-elements Cycle Optimization Algorithm for Solving Continuous Optimization Problems

作者：Liu, Mandan[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

会议论文集：4th IEEE International Conference on Soft Computing & Machine Intelligence (ISCMI)

会议日期：NOV 23-24, 2017

会议地点：MAURITIUS

语种：英文

外文关键词：continuous optimization; heuristic algorithms; five-elements cycle optimization

摘要：The Five-elements Cycle Optimization Algorithm (FECO) is proposed in this paper inspired by the theory of Five-elements in Chinese traditional culture. It is built for finding the optimal solution of continuous functions based on the Five-elements Cycle Model which characterizes the mechanism of generation and restriction among five elements. The comparison with 11 optimization algorithms based on various mechanisms for 23 benchmark functions is given, which indicates the suitability and universality of FECO.