火力与指挥控制Issue(8)：47-50,4.
融入变异算子的萤火虫算法
Growworm Swarm Optimization Algorithm Based on Mutation Operator
摘要
Abstract
As a new kind of intelligent bionic algorithm ,growworm swarm optimization algorithm has the advanatges of good versatility and easy implement,but it also has the disadvantages of slow convergence and falling into local optimal solution . In this article,in order to overcoming the defects of GSO Algorithm,differential mutation operator and Gaussian mutation operator is introduced in the GSO algorithm.The simulation results show that the improved GSO algorithm has higher convergence speed and precision than the basic GSO algorithm.关键词
萤火虫算法/差分变异/高斯变异Key words
growworm swarm optimization/differential mutation operator/gaussian mutation operator分类
信息技术与安全科学引用本文复制引用
杨善友,蓝新波..融入变异算子的萤火虫算法[J].火力与指挥控制,2014,(8):47-50,4.基金项目
国家自然科学基金（60975083）；广东省科技厅基金资助项目 （）
