文献类型：期刊文献

英文题名：Five-elements cycle optimization algorithm for solving continuous optimization problems

作者：Liu, Mandan[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2017

卷号：2018-January

起止页码：75

外文期刊名：IEEE 4th International Conference on Soft Computing and Machine Intelligence, ISCMI 2017

收录：EI(收录号：20183205649150)

语种：英文

外文关键词：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. ? 2017 IEEE.