计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (32): 51-53.

• 研究、探讨 • 上一篇    下一篇

结合Baldwinian效应和周期变异的免疫函数优化

张敏辉1,高晓玲1,杨 剑2   

  1. 1.四川教育学院 计算机科学系,成都 611130
    2.电子科技大学 成都学院,成都 611713
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-11-11 发布日期:2011-11-11

Function optimization based on immune clone with Baldwinian efficiency and periodically mutation

ZHANG Minhui1,GAO Xiaoling1,YANG Jian2   

  1. 1.School of Computer Science,Sichuan College of Education,Chengdu 611130,China
    2.Chengdu College,University of Electronic Science and Technology of China,Chengdu 611713,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-11-11 Published:2011-11-11

摘要: 为了有效提高免疫克隆算法的搜索能力,借鉴生物免疫系统的Baldwinian效应及生物进化的周期性,提出了一种融入Baldwinian正向学习和周期变化变异算子的克隆优化方法,并使用受体编辑保证抗体的多样性,避免局部最优。通过函数测试问题对算法进行了仿真,结果表明,该算法具有较快的收敛速度和求解精度。

关键词: 人工免疫系统, 克隆选择, 函数优化, Baldwinian效应, 周期变异

Abstract: In order to improve the search ability of the immune clone algorithm,a method with Baldwinian efficiency and periodically mutation is proposed based on immune mechanism and periodical evolution of organism.And receptor editing is used to ensure the antibody diversity for avoiding local optimal.The function optimization based experiments show that the algorithm has better effectiveness and rapid convergence.

Key words: artificial immune system, clone selection, function optimization, Baldwinian efficiency, periodically mutation