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粒子群算法研究与展望 被引量：7

Research of Particle Swarm Optimization Algorithm
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摘要 介绍了基本粒子群算法,归纳了粒子群算法的研究现状和改进,包括:增加惯性因子的改进;基于收敛性分析的改进;导入其他演化算法思想的改进;建立非数值问题模型的改进。简要分析了PSO算法的应用。最后对PSO的研究现状做出总结和展望,提出未来的几个研究热点。 Particle swarm optimization algorithm is introduced. Development and improvement of the PSO such as inertia weight, convergence-based, evolutionary operator, new model for discrete problem are reviewed. Its applications are discussed. At last, the researeh of the PSO is summarized and future research issues are pointed out.
作者 邓伟林 胡桂武
机构地区 广东轻工职业技术学院计算机系 广东商学院数学与计算科学系
出处 《现代计算机》 2006年第11期12-15,共4页 Modern Computer
关键词 粒子群算法 群体智能 演化计算 Particle Swarm Optimization Swarm lntelligerlce Evolutionary Computation
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献20

  • 1Eberhart R, Kennedy J. A New Optimizer Using Particles Swarm Theory. Proc 6th Int. Symposium on Micro Machine and Human Science. Nagoya,1995:39-43
  • 2Kennedy J. The Particle Swarm: Social Adaptation of Knowledge. Proc. IEEE Int. Conf. On Evolutionary Computation. Indianapolis, 1997:303-308
  • 3Shi Yuhui, Eberhart R. A Modified Particle Swarm Optimizer Proc. IEEE Int. Conf. on Evolutionary Computational, Anchorage. 1998:69-73
  • 4Shi Yuhui, Eberhart R. Parameter Selection in Particle Swarm Optimization. Proc. of the 7th Annual Conf on Evolutionary Programming. Washington DC,1998:591-600
  • 5Shi Yuhui, Eberhart R. Fuzzy Adaptive Particle Swarm Optimization. Prec. IEEE C.nf. on Evolutionary Computational, Seoul,Korea,2001 : 101 - 106
  • 6Fvar Den Bergh, A P Engellbrecht. A New Locally Convergcnt Panicle Swarm Optimiser, Proc, IEEE Int, Conf. on Systems, Man and Cybernetics, Vol.3, 2002:94-99
  • 7Fvar Den Bergh, An Analysis of Particle Swarm Optimizers. PhD thesis. Department of Computer Science, University of Pretoria, South Africa 2002
  • 8曾建潮,崔志华.一种保证全局收敛的PSO算法[J].计算机研究与发展,2004,41(8):1333-1338. 被引量：158
  • 9Suganthan P N. Particle Swarm Optimizer with Neighborhood Operator. Proc of the Congress on Evolutionary Computation. Washington DC, 1999:1958-1962
  • 10Kenedy J. Small Worlds and Mega-Minds: Effect of Neighborhood Topology on Particle Swarm Performance, Proc of the Congress on Evolutionary Computation. Washington DC, 1999:1931-1938

二级参考文献42

  • 1P N Suganthan. Particle swarm optimiser with neighbourhood operator. In: Proc of the Congress on Evolutionary Computation.Piscataway, NJ: IEEE Service Center, 1999. 1958～1962
  • 2E Ozcan, C Mohan. Particle swarm optimization: Surfing the waves. In: Proc of the Congress on Evolutionary Computation.Piscataway, NJ: IEEE Service Center, 1999. 1939～1944
  • 3M Clerc, J Kennedy. The particle swarm: Explosion, stability and convergence in a multi-dimensional complex space. IEEE Trans on Evolutionary Computation, 2002, 6(1): 58～73
  • 4F Solis, R Wets. Minimization by random search techniques.Mathematics of Operations Research, 1981, 6(1 ): 19～ 30
  • 5F Van den Bergh. An analysis of particle swarm optimizers: [ Ph D dissertation]. Pretoria: University of Pretoria, 2001
  • 6王凌.智能优化算法及其应用.北京:清华大学出版社,2001( Wang Ling. Intelligent Optimization Algorithms with Applications( in Chinese) . Beijing: Tsinghua University Press,2001)
  • 7J Holland. Adaption in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press, 1975
  • 8Bergh F.,Engelbrecht A.P..Training product unit networks using cooperative particle swarm optimizers.In:Proceedings of International Joint Conference on Neural Networks,Washington,2001,1:126～131
  • 9Yoshida H.,Kawata K.,Yoshikazu F..A Particle swarm optimization for reactive power and voltage control considering voltage security assessment.IEEE Transactions on Power System,2000,15(4):1232～1239
  • 10Gao L.,Gao H.B..Particle swarm optimization based algorithm for cutting parameters selection.In:Proceedings of IEEE World Congress on Intelligent Control and Automation,Hangzhou,2004,4 :2847～ 2851

共引文献434

同被引文献69

引证文献7

二级引证文献32

现代计算机
2006年 第11期

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