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一类自适应的差分演化算法 被引量:1

Research on the Self-adaptive Differential Evolutionary Algorithm
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摘要 介绍了差分演化算法常用的五个版本和一种自适应技术,并给出了五个自适应的差分演化算法。并试验研究了各自适应差分演化算法在欺骗问题上的表现,还分析了自适应差分演化算法的性能。 This paper introduces five common editions of differential evolutionary algorithm and one excellent self-adaptive technique,and provides five self-adaptive differential evolutionary algorithms.Experiments show the respective effects of five self-adaptive differential evolutionary algorithms on one deceptive problem.Then the performance of the self-adaptive differential evolutionary algorithms is researched.
作者 胡中波
机构地区 孝感学院数学系
出处 《孝感学院学报》 2007年第6期55-57,83,共4页 JOURNAL OF XIAOGAN UNIVERSITY
基金 湖北省教育厅优秀中青年人才项目(Q200726003)
关键词 差分演化算法 自适应技术 差分演化欺骗问题 differential evolutionary algorithm self-adaptive technique differential evolutionary deceptive problem
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参考文献7

  • 1[1]Storn R,Price K.Differential Evolution-A Simple and Efficient Heuristic for Global Optimization over Continuous Space[J].Journal of Global Optimization,1997,11(4):341-359. 被引量:1
  • 2[2]Liu J,Lampinen J.On Setting the Control Paramter of the Differential Evolution Method[C].In Proceedings of the 8th International on Soft Computing,Brno CzechRepublic.2002:11-18. 被引量:1
  • 3[3]Gamperle R,Muler S D,Koumoutsakos P.A Parameter Study for Differential Evolution[C].In WSEAS NNAFSFS-EC 2002,Interlaken,Switedand,2002. 被引量:1
  • 4[4]Brest J,Zumer V,Maucec M S,et al.Self-Adaptive Differential Evolution Algorithm in Constrained RealParameter Optimization,In the 2006 IEEE Congresson Evolutionary Computation,Sheraton Vancouver Wall Centre Hotel,Vancouver,BC,Canada,Jul.1621,2006. 被引量:1
  • 5[5]Brest J,Boskovic B,Greiner S,et al.Performance Comparison of Self-Adaptive and Adaptive Differential Evohtion Algorithms[J],Soft Computing-A Fusion of Foundation,Methodologies and Applications,2007,11(7):617-629. 被引量:1
  • 6[6]Yah J Y,Ling Q,Sun D M.A Differential Evolutionwith Simulated Annealing Updating Method[C]In Proceeedings of the Fifth International on Machine Learning and Cybemetics,Dalian,2006. 被引量:1
  • 7胡中波,熊盛武.折衷的差分演化算法在有约束优化中的应用[J].计算机工程与应用,2007,43(29):95-97. 被引量:1

二级参考文献6

  • 1胡中波,熊盛武,苏清华.基于小生境的混合差分演化模拟退火算法[J].计算机工程与应用,2007,43(2):105-107. 被引量:15
  • 2Storn R,Price K.Differential evolution a simple and efficient heuristic for global optimization over continuous spaces[J].J Global Optimization,1997,11:341-359. 被引量:1
  • 3Price K.Differential evolution vs.the functions of the 2nd ICEO[C]//Proc of the 1997 IEEE Int Conf on Evolutionary Computation,Indianupolis,1997:153-157. 被引量:1
  • 4Mezura-Montes E,Coello C A C,Tun-Morales E I.Simple feasibility rules and differential evolution for constrained optimization[C]//Proc of the 3rd Mexican Int.Conf.on Artificial Intelligence.Mexico,2004:707-716. 被引量:1
  • 5Zhang W J,Xie X F.DEPSO:hybrid particle swarm with differential evolution operator[C]//IEEE Int Conf on system,man and cybernetics,Washington D C,2003:3816-3821. 被引量:1
  • 6Koziel S,Michalewicz Z.Evolutionary algorithms,homomorphous mappings,constrained parameter optimization[J].Evolutionary Computation,1999,7(1):19-44. 被引量:1

同被引文献12

  • 1胡中波,熊盛武,苏清华.基于小生境的混合差分演化模拟退火算法[J].计算机工程与应用,2007,43(2):105-107. 被引量:15
  • 2胡中波,熊盛武,胡付高,苏清华.改进的差分演化算法及其在函数优化中的应用[J].武汉理工大学学报,2007,29(4):125-128. 被引量:11
  • 3Store R, Price K. Differential Evolution-A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces[R]. Berkeley: ICSI, 1995. 被引量:1
  • 4Price K. Differential Evolution vs. the Functions of the 2nd ICEO[A]. Proc. of the 1997 IEEE International Conference on Evolutionary Computation[C]. Indianapolis, 1997 : 153-157. 被引量:1
  • 5Storn R, Price K. Minimizing the Real Functions of the ICEC' 96 Contest by Differential Evolution[A]. Proc. of the 1996 IEEE International Conference on Evolutionary Computation[C]. Nagoya, 1996: 842-844. 被引量:1
  • 6Yan J Y, Ling Q, Sun D M. A Differential Evolution with Simulated Annealing Updating Method[A]. Proc. of the 5th International Conference on Machine Learning and Cybernetics[ C], Dalian, 2006: 2103-2106. 被引量:1
  • 7Babu B V, Ashish M G. Multi-Objective Differential Evolution (MODE) Algorithm for Multi-Objective Optimization: Parametric Study on Benchmark Test Problems[J]. Journal on Future Engineering & Technology, 2007, 3 (1) : 47-59. 被引量:1
  • 8Babu B V. Improved Differential Evolution for Single- and Multi-Objective Optimization: MDE, MODE, NSDE, and MNSDE[J]. Advances in Computational Optimization and its Applications, 2007: 24-30. 被引量:1
  • 9Liu J, Lampinen J. On Setting the Control Parameter of the Differential Evolution Method[A]. In Proc. of the 8^th International on Soft Computing, Brno CzechRepublic, 2002:11-18. 被引量:1
  • 10G amperie R, Muler S D, Koumoutsakos P. A Parameter Study for Differential Evolution[J ]. Advances in Intclligent Systems, Fuzzy Systems, Evolutionary Computation, 2002: 293-298. 被引量:1

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