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求解概率优化问题的微种群免疫优化算法

张著洪 张仁崇

张著洪, 张仁崇. 求解概率优化问题的微种群免疫优化算法[J]. 北京航空航天大学学报, 2016, 42(9): 1785-1794. doi: 10.13700/j.bh.1001-5965.2015.0563
引用本文: 张著洪, 张仁崇. 求解概率优化问题的微种群免疫优化算法[J]. 北京航空航天大学学报, 2016, 42(9): 1785-1794. doi: 10.13700/j.bh.1001-5965.2015.0563
ZHANG Zhuhong, ZHANG Renchong. Micro-immune optimization algorithm for solving probabilistic optimization problems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(9): 1785-1794. doi: 10.13700/j.bh.1001-5965.2015.0563(in Chinese)
Citation: ZHANG Zhuhong, ZHANG Renchong. Micro-immune optimization algorithm for solving probabilistic optimization problems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(9): 1785-1794. doi: 10.13700/j.bh.1001-5965.2015.0563(in Chinese)

求解概率优化问题的微种群免疫优化算法

doi: 10.13700/j.bh.1001-5965.2015.0563
基金项目: 国家自然科学基金(61563009);国家教育部博士点专项基金(20125201110003);贵州大学研究生创新基金(2015057)
详细信息
    作者简介:

    张著洪,男,博士,教授,博士生导师。主要研究方向:控制理论与计算智能。Tel.:0851-83629086,E-mail:zhzhang@gzu.edu.cn;张仁崇男,硕士研究生。主要研究方向:智能优化算法。Tel.:14785155567,E-mail:zhangrenchong1990@163.com

    通讯作者:

    张著洪,Tel.:0851-83629086,E-mail:zhzhang@gzu.edu.cn

  • 中图分类号: TP301.6

Micro-immune optimization algorithm for solving probabilistic optimization problems

Funds: National Natural Science Foundation of China (61563009); Doctoral Fund of Ministry of Education of China (20125201110003); Graduate Innovation Fund of Guizhou University (2015057)
  • 摘要: 针对未知随机变量分布环境下的非线性概率优化模型,探讨微种群免疫优化算法。算法设计中,基于危险理论的应答模式,设计隐并行优化结构;经由自适应采样方法辨析优质和劣质个体;通过动态调整个体的危险半径确定危险区域和不同类型子群;利用多种变异策略指导个体展开多方位局部和全局搜索。该算法的计算复杂度依赖于迭代数、变量维数和群体规模,其具有进化种群规模小、可调参数少和结构简单等优点。借助理论测试例子和公交车调度问题,比较性的数值实验显示,此算法在寻优效率、搜索效果等方面均有一定的优势,对复杂概率优化模型有较好潜力。

     

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出版历程
  • 收稿日期:  2015-09-01
  • 刊出日期:  2016-09-20

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