文献类型：期刊文献

中文题名：一种新的启发式优化算法——五行环优化算法研究与分析

英文题名：Research and Analysis of a Novel Heuristic Algorithm:Five-elements Cycle Optimization Algorithm

作者：刘漫丹[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2020

卷号：46

期号：5

起止页码：957

中文期刊名：自动化学报

外文期刊名：Acta Automatica Sinica

收录：CSTPCD;;EI(收录号：20202908957233);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；PubMed;

语种：中文

中文关键词：连续函数优化;五行环优化算法;启发式算法;标准测试函数

外文关键词：Continuous optimization;five-elements cycle optimization;heuristic algorithms;benchmark functions

摘要：借鉴中国古代哲学理论所描述的系统动态平衡方法,提出了解决连续函数优化问题的五行环优化算法.首先,分析了基于五行元素生克原理而建立的五行环模型,并在该模型基础上,构建了元素空间结构以及元素更新方法等关键环节,从而实现了五行环优化算法.随后,对五行环优化算法进行了性能分析和关键参数比较,针对标准测试函数,将五行环优化算法与其他17个机制各异的启发式优化算法进行了比较,实验结果验证了五行环优化算法的有效性和通用性,也表明了其在求解连续函数优化问题上具有较好的优化性能.
The five-elements cycle optimization algorithm(FECO)for continuous optimization problems is researched and analyzed in this paper.It is inspired by the theory of Five-elements which represents the performance of a dynamic balancing system.Firstly,the five-elements cycle model based on the mechanism of generation and restriction among five elements is analyzed.Afterwards,FECO is built for finding the optimal solution of continuous functions by designing the framework of element space and the pivotal operators.The performance and parameter comparison of FECO is given by experiment,the comparison with 17 optimization algorithms based on various mechanisms for two sets of benchmark functions is also given,which indicates the feasibility and universality of FECO.