摘要
提出了一种新型群体智能优化算法——微进化算法.该算法采用实数编码,基于个体自身历史最优位置,以群体中最优个体与当前个体的矢量差异信息作为指导,进行启发式搜索.数值实验结果表明:微进化算法简单有效、计算精度高、收敛速度快、鲁棒性强;此外,还具有参数设置简便、计算简单等特点.
Microevolution Algorithm（MA）,a new real-coded swarm intelligent algorithm,is proposed in this paper for optimization.Bsaed on the history of best individuals,MA replaces each individual in current population by a new individual,which is generated by the differences between the swarm globe best individual and the current individual.Numerical results indicate that MA is simple,robust,efficient,easy to use and requires few control variables.Moreover,MA has advantages of high precision and high speed.
出处
《厦门理工学院学报》
2010年第3期38-42,共5页
Journal of Xiamen University of Technology
关键词
全局优化算法
微进化算法
群体智能
函数优化
globe optimization method
microevolution algorithm
swarm intelligence
function optimization
