广西科学2017，Vol.24Issue(3)：247-257,11.DOI:10.13656/j.cnki.gxkx.20170601.001
具有差分进化算子的社会蜘蛛群优化算法
Differential Mutation Operator-Based Social Spider Optimization Algorithm
摘要
Abstract
[Objective]A social-spider optimization algorithm (SSO) is a novel meta-heuristic optimization algorithm,it has been widely concerned by scholars in this field since it was put forward,and it had been successfully applied in many fields,but the algorithm is still in the early stages of the study,the convergence speed and computational accuracy of the algorithm need to be improved.[Methods]In order to enhance the convergence speed and computational accuracy of the algorithm,in this paper,a social-spider optimization algorithm with differential mutation operator (SSO-DM) had been proposed,and was applied to the function optimization problem. The improvement involved differential mutation operator. A social-spider optimization algorithm with differential mutation operator (SSO-DM) was validated by five benchmark functions. [Results]Differential mutation operator enhanced the convergence speed and computational accuracy of the algorithm. [Conclusion]The results showed that the proposed algorithm was able to obtain accurate solution,and it also had a fast convergence speed and a high degree of stability.关键词
社会蜘蛛群优化算法/差分进化算子/元启发式优化算法/函数优化Key words
social-spider optimization algorithm/differential mutation operator/meta-heuristic optimization algorithm/functions optimization分类
信息技术与安全科学引用本文复制引用
赵汝鑫,罗淇芳,周永权..具有差分进化算子的社会蜘蛛群优化算法[J].广西科学,2017,24(3):247-257,11.基金项目
国家自然科学基金项目(61463007,61563008)和广西自然科学基金项目(2016GXNSFAA380264)资助. （61463007,61563008）
