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改进的粒子群算法在车间作业调度中的应用研究 被引量:3

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摘要 针对粒子群算法搜索精度不高、易陷入局部极值点的缺点,通过分析原有粒子群算法的优化机理,提出一种基于惯性权重随粒子,进而使进化代数增加而非线性减小的改进粒子群算法,并将此改进的粒子群算法应用在车间作业调度问题中.通过大量仿真实验结果表明,该算法在求解车间作业调度问题上具有可行性和有效性.
出处 《牡丹江师范学院学报(自然科学版)》 2012年第2期3-5,共3页 Journal of Mudanjiang Normal University:Natural Sciences Edition
基金 黑龙江省发展信息产业专项基金项目(12513094) 牡丹江师范学院教学改革工程项目(11-XJ12030)
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参考文献6

  • 1Kennedy J, Eberbart R C. Particle Swarm Optimization[C]. Piscataway:Proceedings of the IEEE International Conference on Neural Networks. 1995:1942-1948.
  • 2宋胜利,孔力,程晶晶,苏日建.混合优化算法在氧化铝生产中物料平衡计算上的应用[J].仪表技术与传感器,2009(9):105-108. 被引量:2
  • 3Clerc M. Discrete particle swarm optimization[J]. New Optimization Techniques in Engineering Springer-Verlag. 2004,23 (2) : 15-24.
  • 4Graves S. A review of production seheduling[J]. Operations Research. 2008,29(4): 646-675.
  • 5Eberhart R,Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization[C]//IEEE Conggress on Evolutionary Computation. Piscataway : IEEE Service Center, 2000 : 84-88.
  • 6Chatterjee A, Siarry P. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization [J]. Computers&Operations Research, 2006(33) :859-871.

二级参考文献9

  • 1李爱国.多粒子群协同优化算法[J].复旦学报(自然科学版),2004,43(5):923-925. 被引量:398
  • 2刘红丽,李昌禧.基于遗传算法的自动平衡数字式显示仪表的PID控制器设计[J].仪表技术与传感器,2004(12):16-17. 被引量:1
  • 3王凌.智能优化算法及其应用[M].北京:清华大学出版社,2000..
  • 4EBERHART R C, KENNEDY J. A new optimizer using particle swarm theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, IEEE Press, .Piscataway, NJ,1995:39 -43.
  • 5YANG L, HU W W, YANG S Y, et al. Application of Particle Swarm Optimization in Multi-sensor Multi-target Tracking. 1st International Symposium on Systems and Control in Aerospace and Astronautics, 2006:715 - 719.
  • 6LIU B, WANG L,Jin Y H ,et al. Improved particle swarm optimization combined with chaos. Chaos, Solitons and Fractals, 2005,25 ( 5 ) : 1261 - 1271.
  • 7BERGH F, ENGELBRECHT A P. A cooperative approach to particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004,8(3) :225 -239.
  • 8SONG S L, KONG L, CHENG J J, et al. A novel stochastic mutation technique for particle swarm optimization. Dynamics of Continuous Discrete & Impulsive System ,2007 (14) :500 -505.
  • 9孔力,程晶晶,宋胜利,苏日建.基于改进粒子群优化技术的拜耳法物料平衡计算[J].华中科技大学学报(自然科学版),2008,36(1):95-98. 被引量:1

共引文献1

同被引文献21

  • 1张杰.吸收介质的Mie散射光学特性研究[J].安庆师范学院学报(自然科学版),2005,11(3):1-4. 被引量:3
  • 2袁易君,任德明,胡孝勇.Mie理论递推公式计算散射相位函数[J].光散射学报,2005,17(4):366-371. 被引量:47
  • 3J.V.Dave. Scattering of Visible Light by Large Water Sphere[J].Applied Optics,1969,(01):155-164.
  • 4Lentz W.J. Generating Bessel functions in Mie scattering calculation using continued fractions[J].Applied Optics,1976.668-673.
  • 5Wicombe WJ. Improved Mie scattering algorithms[J].Applied Optics,1980.1505-1509.
  • 6孙景群.激光大气探测[M]北京:科学出版社,198631-32.
  • 7C.F.Bohrend,R.Huffman. Absorption and Scattering of Light by Small Particles[M].John Wiley and Sons,Inc,1998.1-46.
  • 8R.A.Campo Arnaiz,M.A.Rodriguez Perez,B.Calvo,J.A.De Saja. Extinction Coefficient of Polyolefin Foams[J].Journal of Polymer Science Part B:Polymer Physics,2005,(13):1608-1617.
  • 9BORHEN C F. Absorption and scattering of light by small particles[M].New York:wiley,1983.
  • 10中兴通信学院.对话云计算[M].北京:人民邮电出版社,2012:41-43.

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