| 一种基于PSO思想的改进量子遗传算法 |
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| 引用本文： | 王渊博,宋铮,吴伟.一种基于PSO思想的改进量子遗传算法[J].合肥工业大学学报(自然科学版),2011(9):1345-1349. |
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| 作者姓名： | 王渊博 宋铮 吴伟 |
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| 作者单位： | 电子工程学院脉冲功率激光技术国家重点实验室; |
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| 基金项目： | 安徽省自然科学基金资助项目(090412067) |
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| 摘 要： | 文章提出一种基于PSO思想的改进量子遗传算法.将PSO中的合作机制和记忆功能引入到QGA中,构造种群个体与当前最优解的距离参量,根据每个个体与当前最优解距离大小智能地控制旋转角的大小,使旋转角能够根据个体的进化差异选择不同旋转角的自适应调整进化过程,从而使算法始终保持合适的搜索网格,加快算法收敛,同时也可以保证能够收敛...
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| 关 键 词： | 量子遗传算法 粒子群算法 自适应旋转角 |
An improved quantum genetic algorithm based on theory of PSO |
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| WANG Yuan-bo,SONG Zheng,WU Wei.An improved quantum genetic algorithm based on theory of PSO[J].Journal of Hefei University of Technology(Natural Science),2011(9):1345-1349. |
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| Authors: | WANG Yuan-bo SONG Zheng WU Wei |
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| Institution: | WANG Yuan-bo,SONG Zheng,WU Wei(State Key Laboratory of Pulsed Power Laser Technology,Electronic Engineering Institute,Hefei 230037,China) |
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| Abstract: | This paper proposes an improved quantum genetic algorithm(QGA) based on the theory of particle swarm optimization(PSO).The cooperation mechanisms and memory function in PSO are introduced into QGA and the distance parameter is constructed between the population individual and the current optimal solution.Quantum rotation counter controlled by the distance parameter can be chosen according to individual differences of evolution to adjust the whole evolution adaptively,so that the algorithm can always keep su... |
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| Keywords: | quantum genetic algorithm(QGA) particle swarm optimization(PSO) adaptive rotation counter |
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