期刊文献+

最大最小蚂蚁系统中参数的研究

The Research on Configuration of Parameters in Max-Min Ant System
下载PDF
导出
摘要 本文对最大最小蚂蚁系统各参数的作用和性能进行了分析,并针对该系统的参数众多、难配置的问题,提出了利用均匀设计优化参数配置的方法,在一定程度上避免了参数配置的盲目性。仿真试验结果表明,利用均匀设计得到的参数组合可使最大最小蚂蚁系统获得较优的运行性能,说明了该方法的可行性、有效性。 This paper analyses the function and performance of the operational parameters in Max-Min ant system. To solve the problem of many parameters and configuration difficult in MMAS, the uniform design method is proposed to Optimize the parameters configuration. Experimental results indicate that the method shows good performance, feasibility and effectiveness .
作者 张姣玲
出处 《广东技术师范学院学报》 2007年第12期53-56,共4页 Journal of Guangdong Polytechnic Normal University
关键词 蚂蚁系统 均匀设计 参数配置 max-min ant system uniform design parameters configuration
  • 相关文献

参考文献4

二级参考文献46

  • 1邓勃.试验设计与优化方法[J].分析科学学报,1996,12(2):157-161. 被引量:21
  • 2方开泰.均匀设计-数论方法在试验设计中的应用[J].应用数学学报,1980,(10):11-16.
  • 3许绿.化学计量学方法[M].北京:科学出版社,1995..
  • 4McMullen P R. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives [ J]. Artificial Intelligence in Engineering, 2001,15(3) :309 -317.
  • 5Coksmi A, Dorigo M, Maniezzo V, et al. Ant system for jobshop scheduling [J]. Belgian Journal Operations Research Statistic Computation Science, 1994,34 (11) :39 - 53.
  • 6Maniezzo V, Carbonaro A. An ant heuristic for the frequency assignment problem [ J ]. Future Generation Computer System,2000,16(8) :927 -935.
  • 7Gambardella L M, Dorigo M. Solving symmetric and asymmetric TSPs by ant colonies [ A]. Proceedings of the IEEE Conference on Evolutionary Computation [ C]. 1996. 622 -627.
  • 8Monarche N, Venturini G, Slimane M. On how pachycondylla apicalis ants suggests a new algorithm [ J ]. Future Generation Computer System, 2000,16 (8) :937 - 946.
  • 9Stutzle T, Hoos H H. MAX-MIN ant system [ J]. Future Generation Computer Systems, 2000,16 (8) :889 - 914.
  • 10Gambardella L M, Dorigo M. Ant-Q: a reinforcement learning approach to the traveling salesman problem [ A ]. Proceedings of the 12th International Conference on Machine Learning [ C ].Tahoe City, CA: Morgan Kaufman, 1995. 252 ~ 260.

共引文献52

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