期刊文献+

蚁群算法研究的新进展和展望 被引量:7

Overview of New Progress and Prospect on Ant Colony Algorithm
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摘要 在介绍蚁群算法的原理和特点后,着重分析了当前一些有代表性的蚁群算法的改进机制和应用成果,并采用比较的方式指出了这些方法的特点和主要应用范围等,最后总结了好的蚁群算法应具有的特点以及将来的研究策略与发展趋势。 After describing the essence and characteristics of ant colony algorithm, this paper analyzed the key mechanisms of the existing representative ant colony algorithm and the application fruits. Then compared their characteristics and application areas. Finally, it summarized the important features that good ant colony algorithm possess, and introduced future research strategies and trends.
出处 《计算机应用研究》 CSCD 北大核心 2007年第4期12-15,25,共5页 Application Research of Computers
基金 国家自然科学基金资助项目(60473090)
关键词 蚁群算法 组合优化 ant colony algorithms combinatorial optimization
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参考文献28

  • 1DORIGO M, MANIEZZO V, COLORNI A. Ant system: optimization by a colony of cooperating agents [ J ]. IEEE Transactions on Systems, Man, and Cybernetics: PartB, 1996,26 ( 1 ) :29- 41.
  • 2DORIGO M, GAMBARDELLA L M. Ant colony system: a cooperative learning approach to the traveling salesman problem [ J ]. IEEE Transactions on Evolutionary Computation, 1997,1 ( 1 ) :53-66.
  • 3DORIGO M, GAMBARDELLA L M, MIDDENDORF M, et al.Guest editorial: special section on ant colony optimization[J]. IEEE Transactions on Evolutionary Computation, 2002,6 ( 4 ) : 317-319.
  • 4DORIGO M, GAMBARDELLA L M. A study of some properties of Ant-Q: proceedings of the 44th International Conference on Parallel Problem Solving from Nature [ C ]. Berlin: Springer-Verlag, 1996:656-665.
  • 5STUTZLE T, HOOS H H, Max-min ant system[ J], Future Generation Computer System, 2000,16(8) :889-914.
  • 6GAMBARDELLA L M, DORIGO M. Solving symmetric and asymmetric TSPs by ant colonies: proc. of the IEEE International Conference on Evolutionary Computation [ C ]. Nagoya: [ s. n. ], 1996.622-627.
  • 7GAMBARDELLA L M, DORIGO M. An ant colony system hybridized with a new local search for the sequential ordering problem [ J ], INFORMS Journal on Computing, 2000,12(3) :237-255.
  • 8BOTEE H M, BONABEAU E. Evolving ant colony optimization[ J].Complex Systems, 1998,1 (2) : 149-159.
  • 9吴斌,史忠植.一种基于蚁群算法的TSP问题分段求解算法[J].计算机学报,2001,24(12):1328-1333. 被引量:247
  • 10张纪会,高齐圣,徐心和.自适应蚁群算法[J].控制理论与应用,2000,17(1):1-3. 被引量:150

二级参考文献82

  • 1陶存文.论我国寿险公司的利率风险及其对策[J].保险研究,1999(9):1-3. 被引量:5
  • 2王颖,谢剑英.一种自适应蚁群算法及其仿真研究[J].系统仿真学报,2002,14(1):31-33. 被引量:232
  • 3李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):15-20. 被引量:1250
  • 4张纪会 徐心和.带遗忘因子的蚁群算法[J].系统仿真学报,2000,(2).
  • 5康立山 谢云 等.非数值并行算法(第1册)[M].北京:科学出版社,1997..
  • 6汪树玉 杨德铨.优化原理、方法与工程应用[M].杭州:浙江大学出版社,1999..
  • 7[3][4]Swiss Re. Assct-liability management for insures.Sigma. 2000, (6).
  • 8[5]LOMA. Product Design for Life Insureance and Annuities. 2000.
  • 9汪树玉 杨德铨.优化原理、方法与工程应用[M].杭州:浙江大学出版社,1999..
  • 10Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies [A]. Proc Europ Conf Artif Life [C ]. Paris : Elsevier Publishing, 1991. 134-142.

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