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基于蚁群算法求解最大团问题 被引量:3

SOLVING MAXIMUM CLIQUE PROBLEM BASED ON ANT COLONY OPTIMIZATION
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摘要 最大团问题是一种典型的NP完全问题,是图论中一个经典的组合优化问题。研究将蚁群算法应用于求解最大团问题,提出一种求解最大团问题蚁群算法。通过定义最大团问题蚁群算法中的各元素,并改进了蚂蚁搜索解的方法,有效地改善蚁群算法易于过早地收敛于局部最优解的缺陷。仿真实验表明,图中的顶点数较多时,也取得了较好的结果。 Maximum clique problem is a typical NP complete problem,and is a classical problem of combinatorial optimization in graph theory.In this paper,to apply ant colony optimization to resolving maximum clique problem is researched,and an algorithm of ant colony optimization for solving maximum dique problem(ACOMCP) is put forward.With the definition of each element in ACOMCP and the improvement on the way the ant searches its solutions,the disadvantage of easily falling into local best the ant colony optimization has is effectively ameliorated. Simulation results showed,when there are more numbers of the vertex,it can also achieve fairly good effect.
出处 《计算机应用与软件》 CSCD 2010年第10期107-109,113,共4页 Computer Applications and Software
基金 安微省自然科学基金项目(KJ2008B021)
关键词 最大团问题 蚁群算法 最大团问题蚁群算法 Maximum clique problem Ant colony optimization Ant colony optimization for solving maximum clique problem(ACOM-CP)
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  • 1郁松年 邱伟德.组合数字[M].国防工业出版社,1995,10.29-35.
  • 2[1]加里M R,约翰逊D S.计算机和难解性[M].科学出版社,1990
  • 3[3]Holland J H. Adaptation in natural and artificial system: An Introduction Analysis with Application to Biology[A]. Control and Artificial Intelligence. USA, The University of Michigan press, 1975
  • 4[4]Adleman L M. Molecular computation of solutions to combinatorial problems[J]. Science,1994,226:1021~1024
  • 5[5]Lipton R J. DNA solution of hard computational problems [J].Science, 1995, 268(5210) :542~545
  • 6[6]Rooβ D,Wagner K W. On the Power of DNA-Computing[J].Information and Computation, 1996, 131 (2): 95~ 109
  • 7[7]Roweis, Sam, Erik W,et al. A sticker based model for DNA computation [J]. Journal of Computational Biology, 1998,5 (4):615~629
  • 8[8]Roweis S, Winfree E. On the reduction off errors in DNA computation[J]. Journal of Computational Biology,1999,6(1) :65~75
  • 9[9]Maley C C. DNA computation: Theory, practice and prospects [J]. Evolutionary Computation,1998,6(3):201~229
  • 10[10]Rozen D E, et al. Molecular Computing: Does DNA Compute?[J]. Current Biology,1996,6(3) :254~257

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  • 1Back T,Khuri S.An Evolutionary Heuristic for the Maximum Independent Set Problem[C] //Proc 1st IEEE Conf Evolutionary Compute.Piscataway:IEEE Press,1994:531-535.
  • 2Friden C,Hertz A,Werra D de.STABULUS:A Technique for Finding Stable Sets in Large Graphs with Tabu Search[J].Computing,1989,42:35-44.
  • 3Battiti R,Prostasi M.Reactive Local Search for the Maximum Clique Problem[J].Algorithmica,2001,29(4):610-637.
  • 4Dorigo M,Gambardella L M.Ant Colony System:A Cooperative Learning Approach to the Traveling Salesman Problem[J].IEEE Trans on Evolutionary Computation,1997 (1):53-66.
  • 5王晓东.计算机算法设计与分析[M].2版.北京:电子工业出版社,2005:141-143.
  • 6Back T,Khuri S.An evolutionary heuristic for the maximum independent set problem[C].Proc 1st IEEE Conf Evolutionary Compute.Piscataway,NJ:IEEE Press,1994:531-535.
  • 7Friden C,Hertz A,deWerra D.Stabulus:A technique for finding stable sets in large graphs with tabu search[J].Computing,1989,42:35-44.
  • 8Battiti R,Prostasi M.Reactive local search for the maximum clique problem[J].Algorithmica,2001,29(4):610-637.
  • 9Dorigo M,Optimization learning and nature algorithms[D].PhD.Thesis,Department of Electronics,Politecnico di Milano,Italy,1992.
  • 10刘怀义,杨小帆,孙丽萍,司沛,王灿.用带非线性自反馈的神经网络求解最大团问题[J].重庆大学学报(自然科学版),2007,30(9):60-63. 被引量:3

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