期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

差分进化算法综述 被引量：131

A Survey of Differential Evolution Algorithms
原文传递
导出
摘要 差分进化算法是一类基于种群的启发式全局搜索技术,对于实值参数的优化具有较强的鲁棒性.为了提高差分进化算法的寻优速度、克服启发式算法常见的早熟收敛问题,许多学者对差分进化算法进行改进.本文综述差分进化的基本形式及其多种改进形式,讨论它们的优缺点,指出下一步的改进方向. Differential evolution （DE） is a heuristic global optimization technique based on population. It is robust for real parameter optimization. To speed up the optimization and overcome the premature convergence of the heuristic optimization technique, many modifications are made to DE. The basic version of DE and its modifications are presented, and their advantages and disadvantages are also discussed. Some issues for further research on DE are addressed.
作者 杨启文 蔡亮 薛云灿
机构地区 河海大学常州校区计算机与信息工程学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2008年第4期506-513,共8页 Pattern Recognition and Artificial Intelligence
关键词 差分进化 启发式优化 遗传算法 Differential Evolution, Heuristic Optimization, Genetic Algorithm
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献41

  • 1Lopez C I L, van Willigenburg L G, van Straten G. Efficient Differential Evolution Algorithms for Muhimodal Optimal Control Problems. Applied Soft Computing, 2003, 3 (2): 97- 122
  • 2Storn R, Price K. Differential Evolution-A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization, 1997, 11 (4) : 341 - 359
  • 3Storn R, Price K. Differential Evolution-A Simple and Efficient A- daptive Scheme for Global Optimization over Continuous Spaces. Technical Report, TR-95- 012, Berkeley, USA: University of California. International Computer Science Institute, 1995
  • 4刘明广.差异演化算法及其改进[J].系统工程,2005,23(2):108-111. 被引量：38
  • 5谢晓锋,张文俊,张国瑞,杨之廉.差异演化的实验研究[J].控制与决策,2004,19(1):49-52. 被引量：70
  • 6Vesterstrom J, Thomsen R. A Comparative Study of Differential Evolution Particle Swarm Optimization and Evolutionary Algorithms on Numerical Benchmark Problems // Proc of the IEEE Congress on Evolutionary Computation. Piscataway, USA, 2004, Ⅱ: 1980- 1987
  • 7Kim H K, Chong J K, Park K Y, et al. Differential Evolution Strategy for Constrained Global Optimization and Application to Practical Engineering Problems. IEEE Trans on Magnetics, 2007, 43 (4) : 1565 - 1568
  • 8Omran M G H, Engelbreeht A P. Self-Adaptive Differential Evolution Methods for Unsupervised Image Classification // Proc of the IEEE Conference on Cybernetics and Intelligent Systems. Bangkok, Thailand, 2006 : 1 - 6
  • 9Zhang Renqian, Ding Jianxun. Non-Linear Optimal Control of Manufacturing System Based on Modified Differential Evolution// Proc of the IMACS Multiconference on Computational Engineering in Systems Applications. Beijing, China, 2006 : 1797 - 1803
  • 10Dhahri H, Alimi A M. The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction // Proc of the International Joint Conference on Neural Networks. Vancouver, USA, 2006: 2938- 2943

二级参考文献53

  • 1席裕庚,柴天佑,恽为民.遗传算法综述[J].控制理论与应用,1996,13(6):697-708. 被引量：342
  • 2[1]Markowitz H M.Portfolio selection [J].Journal of Finance,1952,7: 77-91.
  • 3[2]Ferrari J R.Theoretical portfolio selection approach for insurance property and liability lines [J].Proceedings of the Casual Actuarial Society LIV,1967,22: 33-69.
  • 4[3]Bachman J.Capital Requirements for Multiple Line Property-Liability Insurance Companies [M].Philadelphia: S S Huebner Foundation,1978.
  • 5[4]Kahane Y,Nye D J.A portfolio approach to the property-liability insurance industry [J].Journal of Risk and Insurance,1975,42 (7): 579-598.
  • 6[5]Ruefli,T W.Longitudinal risk-return relationships,Paradox lost [J].Management Science,1990,36: 368-380.
  • 7[6]Li S X,Huang Zhi-ming.Determination of the portfolio selection for a property-liability insurance company [J].European Journal of Operational Research,1996,88: 257-268.
  • 8[7]Charnes A,Coopere W W,Kwon K H,et al.Chance constrained programming and other approaches to risk in strategic management [A].Gould L and Halpern P.Proceedings of a Conference in Honor of M J Gordon [C].Canada: Ottawa,1993.
  • 9[8]Storn R,Price K.Minimizing the real functions of the ICEC' 96 contest by Differential Evolution [A].International Conference of Evolution Computation [C].Japan:Nagoya,1996.
  • 10[1]Koziel S, Michalewicz Z. Evolutionary algorithms, homomorphous mappings and constrained parameter optimization[J]. Evolutionary Computation, 1999, 7 (1): 19-44.

共引文献228

同被引文献1199

引证文献131

二级引证文献513

模式识别与人工智能
2008年 第4期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部