摘要
自组织迁移算法是一种新型的进化算法。对自组织迁移算法的原理、实现及策略参数设置进行了详细分析,在此基础上提出了一种改进算法。通过在个体迁移过程中引入随机变异步长,寻优个体的行为变得多样化,加速了群体在多峰复杂空间中的寻优进程。仿真结果显示,该算法优于原自组织迁移算法和粒子群优化算法。
Self-organizing migrating algorithm is a new evolutionary algorithm.The principles,implementation and strategy parameters setting of the self-organizing migrating algorithm are analyzed in detail.A modified self-organizing migrating algorithm is proposed based on the analysis.With the introduction of random mutation step in the individual migration procedure,the individuals＇ behavior becomes versatile and the population-based search process in muhi-modal complex space is accelerated.Simulation results reveal that the proposed algorithm is better than the original self-organizing migrating algorithm and the particle swarm optimization ＇algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第35期41-44,共4页
Computer Engineering and Applications
基金
山东省优秀中青年科学家科研奖励基金资助项目(2004BS01004)
山东省自然科学基金资助项目(Y2003G01)。
关键词
优化
进化算法
自组织迁移算法
变异
optimization
evolutionary algorithm
self-organizing migrating algorithm
mutation
