期刊文献+

ACS算法在矩形件优化排料中的应用 被引量:1

ACS algorithm applied to optimal layout of rectangular part
下载PDF
导出
摘要 矩形件优化排料是一类具有NP完全难度的组合优化问题。有关的优化问题可用与或树来描述,这样就把矩形件优化排料问题变换为寻找一棵面积比率最大的二叉树。用ACS算法实现这种树搜索,是把一定数量的人工蚂蚁分布在与或树的根节点,人工蚂蚁间通过使用信息素相互交流,完成从与或树到二叉树的选择,从而得到矩形件优化排料问题的优化解。 The optimal layout for rectangular part is a NP-complete combinatorial optimization problem. This optimal problem is represented by an AND/OR tree and then its optimal objective becomes to find the binary tree whose ratio of the area is maximum. To implement this kind of tree search using ant colony system algorithm, a number of artificial ants are distributed on the root of the AND/OR tree and communicate with one another through the pheromone trails which are a form of the long-term memory guiding the future exploration of the AND/OR tree, with which the optimal solution of the rectangular part optimal layout could be obtained.
出处 《计算机工程与设计》 CSCD 北大核心 2006年第2期356-358,共3页 Computer Engineering and Design
关键词 矩形件优化排料 ACS算法 树搜索 rectangular parts optimal layout ant colony system (ACS) algorithm tree search
  • 相关文献

参考文献9

  • 1Christofides N, Whitlock C. An algorithm for two-dimensional cutting problems[J].Operations Research, 1977,25:30-44.
  • 2WANG P Y. Two algorithms for constrained two-dimensional cutting stock problems [J]. Operations Research, 1983,31 : 573-586.
  • 3王爱虎,查建中,王金敏.一种基于二叉树结构表达的矩形物体布局的启发式方法[J].软件学报,1996,7(4):252-257. 被引量:23
  • 4Beasley J E. Algorithms for unconstrained two-dimensional guillotine cutting [J]. Journal of the Operational Research Society, 1985,36:297-306.
  • 5Alvarez-Valdes R, Parajon A,Tamarit J M. A tabu search algorithm for large-scale guillotine(un)constrained two-dimensional cutting problems[J].Computers and Operations Research, 2002,29:925-947.
  • 6Dorigo M, Gambardella L M. Ant colony system: a cooperative learning approach to the traveling salesman problem[J]. IEEE Trans Evolut Comput, 1997,1(1):53-66.
  • 7Dorigo M, Maniezzo V, Colomi A. Ant system: optimization by a colony of cooperating agents[J].IEEE Trans Systems,Man, and Cybernetics-Part B: Cybernetics, 1996,26(1):29-41.
  • 8Maniezzo V, Colomi A. The ant system applied to the quadratic assignment problem[J].IEEE Trans on Knowledge and Data Engineering, 1999,11 (5):769-778.
  • 9Dorigo M, Caro G D, Gambardella L M. Ant algorithms for discrete optimization[J].Artificial Life, 1999,5(2):137-172.

二级参考文献4

  • 1戴佐,博士学位论文,1995年
  • 2唐策善,并行图论算法,1991年
  • 3张立昂,计算机和难解性.NP完全性理论导引,1990年
  • 4Wang P Y,Operations Res,1983年,31卷,573页

共引文献22

同被引文献10

  • 1刘瑞杰,须文波.求解矩形件优化排料蚁群算法[J].江南大学学报(自然科学版),2005,4(1):23-26. 被引量:5
  • 2LIU Rui-jie,XU Hong-yu, ZHANG Min. The max-min ant system applied to the rectangular pieces layout optimization [ C ]// Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering. Piscataway, NJ: [ s. n. ], 2012 : 282 -285.
  • 3Dorigo M, Caro G D, Gambardella L M. Ant algorithms for discrete optimization[ J ]. Artificial Life, 1999,5 (2) : 137-172.
  • 4Ellabib I, Calamai P, Basir O. Exchange strategies for multiple ant colonysystem [ J]. Information Sciences: an International Journal ,2007,177 ( 5 ) : 1248-1264.
  • 5Melo L A, Pereira F B, Costa E. MC-ANT: a multi-colony ant algorithm [ J ]. Artificial Evolution,2010,5975:25-36.
  • 6Aljanaby A, Ku-Mahamud K R, Norwawi N M. Interacted multiple ant colonies optimization framework: an experimental study of the evaluation and the exploration techniques to control the search stagnation [ .] ]. International Journal of Advancements in Computing Technology,2010,2( 1 ) :78-85.
  • 7Aljanaby A, Ku-Mahamud K R, Norwawi N M. Interacted multiple ant colonies optimization approach to enhance the performance of ant colony optimization algorithm[ J]. Computer and Information Science,2010,3 ( 1 ) :29-34.
  • 8张鹏,林杰,刘思伟.基于多种群蚁群算法的大规模定制供应链调度[J].计算机工程,2011,37(7):196-198. 被引量:4
  • 9李颖浩,郭瑞鹏.求解机组组合问题的多种群混沌蚁群算法[J].电力系统保护与控制,2012,40(9):13-17. 被引量:11
  • 10王华昌,陶献伟,李志刚.一种矩形件优化排样综合算法[J].华中科技大学学报(自然科学版),2003,31(6):9-12. 被引量:12

引证文献1

二级引证文献1

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