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.
作者
刘漫丹
LIU Man-Dan(School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237)
出处
《自动化学报》
EI
CSCD
北大核心
2020年第5期957-970,共14页
Acta Automatica Sinica
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
Continuous optimization
five-elements cycle optimization
heuristic algorithms
benchmark functions
