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基于免疫粒子群算法的非合作博弈Nash均衡问题求解

贾文生 向淑文 杨剑锋 胡文生

计算机应用研究2012,Vol.29Issue(1):28-31,4.
计算机应用研究2012,Vol.29Issue(1):28-31,4.DOI:10.3969/j.issn.1001-3695.2012.01.007

基于免疫粒子群算法的非合作博弈Nash均衡问题求解

Solving Nash equilibrium for N-persons' non-cooperative game based on immune particle swarm algorithm

贾文生 1向淑文 2杨剑锋 1胡文生2

作者信息

  • 1. 贵州大学理学院,贵阳550025
  • 2. 贵州大学,计算机科学学院,贵阳550025
  • 折叠

摘要

Abstract

This paper involved the antibody concentration inhibition mechanism and immune memory function of immune algorithm into the original swarm algorithm, and proposed an immune particle swarm algorithm for solving Nash equilibrium of N-persons' non-cooperative game. The proposed algorithm had not only the properties of the original swarm algorithm, but also improved ihe abilities of seeking the global optimization result and evolution speed. The computer simulation results demonstrate that the proposed algorithm is effective, and it is superior to the immune algorithm and original swarm algorithm.

关键词

免疫算法/粒子群算法/非合作博弈/纳什均衡

Key words

immune algorithm/ particle swarm algorithm/ non-cooperative game/ Nash equilibrium

分类

信息技术与安全科学

引用本文复制引用

贾文生,向淑文,杨剑锋,胡文生..基于免疫粒子群算法的非合作博弈Nash均衡问题求解[J].计算机应用研究,2012,29(1):28-31,4.

基金项目

国家自然科学基金资助项目(70661001) (70661001)

贵州大学青年基金资助项目(2010021) (2010021)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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