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Indonesialuv.com Cn Szh 1 You 布谷鸟搜索算法 - 维基百科,自由的百科全书

Indonesialuv.com Cn Szh 1 You

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布谷鸟搜索到工程优化问题中的应用已经表现出其高优效率[5] 经过几年的发展,为了进一步提高算法的性能,CS算法的很多变体与改进逐步涌现。瓦爾頓(Walton)等提出了修正布谷鳥搜索(Modified Cuckoo Search,縮寫 MCS);伐立安(Valian)等提出了一种可变参数的改进CS算法,提高了收敛速度,并将改进算法应用于前馈神经网络训练中[6];馬里切爾凡姆(Marichelvam)将一种混合CS算法应用于流水车间调度问题求解中[7];錢德拉塞卡蘭(Chandrasekaran)等将集成了模糊系统的混合CS算法应用于机组组合问题[8]

楊(Yang)和戴布(Deb)提出多目标布谷鸟搜索(Multiobjective Cuckoo Search,縮寫 MOCS),应用到工程优化并取得很好的效果[9];詹(Zhang)等通过对种群分组,并根据搜索的不同阶段对搜索步长进行预先设置,提出了修正調適布谷鸟搜索(Modified Adaptive Cuckoo Search,縮寫 MACS),提高了CS的性能[10]

參考文獻[编辑]

  1. ^ X. S. Yang and S. Deb, Cuckoo search via Lévy flights, in: World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), IEEE Publications,pp. 210-214.
  2. ^ R. B. Payne, M. D. Sorenson, and K. Klitz, The Cuckoos, Oxford University Press, (2005).
  3. ^ X.S. Yang and S. Deb, Engineering optimisation by cuckoo search, Int. J. Mathematical Modelling and Numerical Optimisation, Vol. 1, No. 4, 330-343 (2010).
  4. ^ Novel Cuckoo Search Beats Particle Swarm Optimization, news-DA-Novel-Cuckoo-Search-Algorithm-Beats-Particle-Swarm-Optimization-060110.aspx
  5. ^ Gandomi A, Yang X, Alavi A. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems[J]. Engineering with Computers, Vol. 29, 17-35 (2013).
  6. ^ E. Valian, S. Mohanna and S. Tavakoli, Improved cuckoo search algorithm for feedforward neural network training, Int. J. Artificial Intelligence and Applications, Vol. 2, No. 3, 36-43(2011).
  7. ^ M.K.Marichelvam, An improved hybrid Cuckoo Search (IHCS) metaheuristics algorithm for permutation flow shop scheduling problems, International Journal of Bio-Inspired Computation, Vol. 4, No. 4, 200-205 (2012).
  8. ^ K. Chandrasekaran and S. P. Simon, Multi-objective scheduling problem: Hybrid approach using fuzzy assisted cuckoo search algorithm, Swarm and Evolutionary Computation, Vol. 5, 1-16 (2012).
  9. ^ X. S. Yang and S. Deb, Multiobjective cuckoo search for design optimization, Computers and Operations Research, Vol. 40, No. 6, 1616-1624 (2013).
  10. ^ Y. Zhang, L. Wang, Q. Wu, Modified Adaptive Cuckoo Search Algorithm and Formal Description for Global Optimization, International Journal of Computer Applications in Technology, Vol. 44, No. 2, 73-79 (2012).

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