| 基于排斥技术的QPSO算法在纳什均衡中的应用 |
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| 引用本文： | 于敏,须文波,孙俊.基于排斥技术的QPSO算法在纳什均衡中的应用[J].计算机工程与应用,2007,43(7):31-33,67. |
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| 作者姓名： | 于敏 须文波 孙俊 |
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| 作者单位： | 江南大学,信息学院,江苏,无锡,214122;江南大学,信息学院,江苏,无锡,214122;江南大学,信息学院,江苏,无锡,214122 |
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| 摘 要： | 基于量子行为的粒子群优化算法(QPSO)是一种随机的全局优化搜索新方法。文章系统地介绍了PSO算法、QPSO算法和“repulsion”技术。在对QPSO算法和基于“repulsion”技术的PSO算法分析的基础上,提出了基于“repulsion”技术的QPSO算法。将该算法用于求解混合纳什均衡。实验表明,新算法在解的收敛性和稳定性等方面优于QPSO算法。
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| 关 键 词： | 具有量子行为的粒子群算法 纳什均衡 排斥技术 博弈 |
| 文章编号： | 1002-8331（2007）07-0031-03 |
| 修稿时间： | 2006-11 |
Application of QPSO algorithm based on repulsion technique in Nash equilibria |
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| YU Min,XU Wen-bo,SUN Jun.Application of QPSO algorithm based on repulsion technique in Nash equilibria[J].Computer Engineering and Applications,2007,43(7):31-33,67. |
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| Authors: | YU Min XU Wen-bo SUN Jun |
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| Affiliation: | School of Information Technology,Southern Yangtze University,Wuxi,Jiangsu 214122,China |
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| Abstract: | Quantum-Behaved Particle Swarm Optimization is a new stochastic global optimization method.In this paper,Particle Swarm Optimization,Quantum-Behaved Particle Swarm Optimization,repulsion technique is introduced and presented based on the analysis of Quantum-Behaved Particle Swarm Optimization.New algorithm apply to nash equilibrium in game theory and in order to solve the solution of nash equilibrium.Two benchmarks are tested and show that the new algorithm is better than the PSO algorithm based on repulsion technique with both a better value and a steady converzence. |
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| Keywords: | Quantum-behaved Particle Swarm Optimization(QPSO) Nash equilibrium repulsion technique game |
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