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基于免疫粒子群优化算法的多约束路由选择算法 被引量:4

A Multiple Constrained Routing Selection Based on Particle Swarm Optimization Algorithms with Immunity
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摘要 受生物体免疫系统免疫机制的启发,把免疫系统的免疫信息处理机制引入到粒子群优化算法中,设计了一个基于免疫粒子群优化算法的路由选择算法。这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制,实现简单,改善了粒子群优化算法摆脱局部极值点的能力,提高了算法进化过程中的收敛速度和精度。 The immune information processing mechanism is involved into original particle swarm optimizer, and the particle swarm option algorithms with immunity are proposed for router problem. The proposed algorithms have both the properties of the original particle swarm optimization algorithm and the immune mechanism of immune system, so as to improve the abilities of seeking the global excellent result and evolution speed.
作者 陈曦
出处 《长沙交通学院学报》 2006年第2期56-59,共4页 Journal of Changsha Communications University
基金 湖南省自然科学基金项目(03JJY3101)
关键词 粒子群优化算法 免疫系统 路由选择 particle swarm optimization immune system router problem
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