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一种免疫算法的改进 被引量:7

An Improved Immune Algorithm
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摘要 针对一种免疫算法在求解多模态函数优化问题的不足,利用基于相似结构的小生境技术和近优淘汰算子对免疫算法加以改进.通过仿真实验,本文分析了交叉算子、变异算子及近优淘汰算子对算法的影响.仿真结果表明改进后的算法的性能有明显的提高. To the drawback that an immune algorithms solve the multi-model optimizing problem, the immune algorithms is improved by using a niche technology of similar structure and eliminating near best result operator. Through the simulation test, the paper analyses the impact of crossover operator, mutation operator and eliminating near best result operator on the algorithms. Simulation results show that the property of the improved algorithms is improved greatly.
作者 曾毅
出处 《华东交通大学学报》 2007年第1期123-128,共6页 Journal of East China Jiaotong University
基金 华东交通大学校级科研课题<免疫算法参教的研究>
关键词 免疫算法 近优淘汰算子 小生境技术 多模态最优化 immune algorithms eliminating near best result operator niche technology multi-model optimization
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参考文献5

  • 1de CASTROLN,Von ZUBEN F J.learning and optimization using the clonal selection principle[J].IEEE trans on Evolutionary computation,special Issue on Artificial Immune systems,2002.6.(3):239-251.
  • 2D.E.Goldberg and k.Deb,A Comparative Analysis of selection Schemes used in Genetic Algorithms.In Genetic Algorithms.In Rawins,1991:69-91.
  • 3周明,孙树栋.遗传算法及应用[M].北京:国防工业出版社,2000.
  • 4张著洪,黄席樾.一种新的免疫算法及其在多模态函数优化中的应用[J].控制理论与应用,2004,21(1):17-21. 被引量:28
  • 5葛红,毛宗源.免疫算法的实现[J].计算机工程,2003,29(5):62-63. 被引量:39

二级参考文献6

  • 1[1]de CASTRO L N, Von ZUBEN F J. Learning and optimization using the clonal selection principle [J]. IEEE Trans on Evolutionary Computation, Special Issue on Artificial Immune Systems, 2002, 6(3):239-251.
  • 2[3]de CASTRO L N. The Clonal Selection Algorithm with Engineering Applications [C]∥In Workshop Proc of GECC'00, Workshop on Artificial Immune Systems and Their Applications,[s.l.]:[s.n.],2000:36-37.
  • 3[4]ZHANG Z H, HUANG X Y, MA X X. A Novel Fuzzy Immune Control System and Its Application to Multi-modal Function Optimization [C]∥ Proc of the 2002 Int Conf on Control and Automation.[s.l.]:[s.n.],2002:777-780.
  • 4[5]JIAOL C, WANG L. A novel genetic algorithm based on immunity [J]. IEEE Trans on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2000,30(5):552-561.
  • 5刘克胜,曹先彬,郑浩然,王煦法.基于免疫算法的TSP问题求解[J].计算机工程,2000,26(1):1-2. 被引量:54
  • 6王磊,潘进,焦李成.免疫规划[J].计算机学报,2000,23(8):806-812. 被引量:63

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引证文献7

二级引证文献3

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