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采用粒群优化的免疫克隆算法 被引量：2

Immunity clone algorithm with particle swarm optimization
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摘要 利用免疫系统的克隆选择机制,结合粒群优化算法的进化方程,提出一种用于函数优化的算法。算法的主要特点是利用免疫处理操作,提高种群的多样性,利用进化方程提高收敛速度。仿真程序表明,该算法能以较快速度完成给定范围的搜索和全局优化任务。 To use the clonal selection mechanism of the immune system and combine with the evolution equation of particle swarm optimization, an advanced algorithm was introduced to optimize functions. The advantages are via immunity operation to maintain diversity of the antibodies, and the speed of convergent are improved by using evolution equation. The simulation results show that the algorithm can converge to the global optimum at quicker rate in a given range.
作者 刘丽珏 蔡自兴 唐琎
机构地区 中南大学信息科学与工程学院
出处 《计算机应用》 CSCD 北大核心 2006年第4期886-887,954,共3页 journal of Computer Applications
基金 国家自然科学基金资助项目(60234030) 教育部留学回国人员科研启动基金
关键词 免疫 粒子群优化算法 克隆 变异 immunity particle swarm optimization clone mutation
分类号 TP183 [自动化与计算机技术—控制理论与控制工程]
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共引文献31

同被引文献13

  • 1李伟,黄席樾.基于免疫原理的故障诊断推理模型研究[J].计算机仿真,2005,22(7):111-114. 被引量：4
  • 2蒙文川,邱家驹.基于免疫算法的配电网重构[J].中国电机工程学报,2006,26(17):25-29. 被引量：84
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  • 8Gong TaovCai Zixing. Tri-tier immune system in an?ti-virus and software fault diagnosis of mobile im?mune robot based .on normal model[J]. Intelligent Robot System, 2008,51(2) : 187-20l.
  • 9Ahmad W, Narayanan A. Principles and methods of artificial immune system vaccination of learning sys?tems[C] II International Conference on Artificial Im?mune System. Cambridge, UK:[so n.J, 2011: 268- 28l.
  • 10Castiglione F, Motta S, Nicosia G. Pattern recognition by primary and secondary response of an artificial immune system[M]. New York: Springer, 2007.

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计算机应用
2006年 第4期

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