| 新的自适应免疫量子粒子群优化算法 |
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| 引用本文： | 朱颢东,李红婵. 新的自适应免疫量子粒子群优化算法[J]. 微电子学与计算机, 2011, 28(3): 123-125,129 |
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| 作者姓名： | 朱颢东 李红婵 |
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| 作者单位： | 郑州轻工业学院,计算机与通信工程学院,河南,郑州,450002 |
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| 基金项目： | 河南省基础与前沿技术研究计划项目，郑州轻工业学院博士科研基金项目 |
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| 摘 要： | 为了克服粒子群优化算法早熟收敛以及粒子在进化过程中缺乏很好的方向指导的问题,算法中采用了量子技术以及免疫机制来提高粒子群的收敛速度和寻优能力,从而获得了一个新的自适应免疫量子粒子群优化算法.仿真试验表明该算法具有较好的性能.
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| 关 键 词： | 粒子群优化 量子技术 免疫机制 |
New Adaptive Immune Quantum-Behaved Particle Swarm Optimization Algorithm |
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| ZHU Hao-dong,LI Hong-chan. New Adaptive Immune Quantum-Behaved Particle Swarm Optimization Algorithm[J]. Microelectronics & Computer, 2011, 28(3): 123-125,129 |
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| Authors: | ZHU Hao-dong LI Hong-chan |
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| Affiliation: | ZHU Hao-dong,LI Hong-chan(School of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China) |
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| Abstract: | In order to escape from premature convergence and lack good direction in particles the evolutionary process,quantum technology and immunologic mechanism were employed to improve the convergence speed and the optimization ability of particle swarm,and a new adaptive immune quantum-behaved particle swarm optimization(NAIQPSO) algorithm was provided.Simulation experiments show that the provided algorithm has better performance. |
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| Keywords: | particle swarm optimization quantum technology immunologic mechanism |
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