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求解TSP问题的多线程演化算法 被引量:5

Multi-thread evolutionary algorithm to TSP
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摘要 提出了一种基于单处理器的多线程演化算法。该算法着重于发挥线程之间通讯高效的特点,充分利用演化线程之间大量的通讯,避免演化计算的过早收敛。求解TSP(travelingsalesmanproblem)问题的实验结果表明,该算法大大地提升了原简单演化算法解的质量,而且该算法的解也明显优于使用相同简单演化算法实现的基于孤岛模型的分布式演化算法所得到的解。 A multi-thread evolutionary algorithm (EA) is proposed. This algorithm focus on the superiority of convenient communication among the threads and makes full use of communication to avoid solution converging early. The experiment result shows that solutions are obvious better than not only the solution of the simple EA but also the solution of a distributed EA using the same simple EA model.
出处 《计算机工程与设计》 CSCD 北大核心 2005年第7期1744-1746,1750,共4页 Computer Engineering and Design
基金 中国地质大学计算机系优秀青年教师基金项目。
关键词 TSP 多线程 演化算法 TSP multi-thread evolutionary algorithm
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  • 1孙家昶 张林波.网络并行计算与分布式编程环境[M].北京:科学出版社,1997..
  • 2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..
  • 3Michalewicz Z. Genetic algorithms + data structure = evolutionprograms[M]. Berlin : Springer-Verlag, 1996.
  • 4Sun Jia-chang, Zhang Lin-bo, Chi Xue-bin, Wang Dao-liu. Net-work parallel computing and distributed programming environment[M]. Beijing: Science Press, 1997.
  • 5Rajkumar Buyya. High performance cluster computing programming and applications, volume 2[M]. New York:Prentice Hall Inc, 1999.
  • 6Erick Cantu-Paz. Efficient and accurate parallel genetic algorithms[M]. New York: Kluwer Academic Publishers, 2000.
  • 7Gu J,IEEE Trans Syst Man Cybern,1994年,24卷,5期,728页
  • 8康立山,非数值并行算法.模拟退火算法,1994年
  • 9Jiang Rui,Proc Conference on Intelligent Information Processing(WCC 2000 IIP 2000),2000年,478页
  • 10Wu Qinghong,计算机研究与发展,1999年,36卷,10期,1240页

共引文献280

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  • 1Yang Hui, Kang Li-shan, Chen Yu-pingState Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, China.A Gene-Pool Based Genetic Algorithm for TSP[J].Wuhan University Journal of Natural Sciences,2003,8(S1):217-223. 被引量:6
  • 2汪新星,张明.基于改进微粒群算法的水火电力系统短期发电计划优化[J].电网技术,2004,28(12):16-19. 被引量:32
  • 3薛明志,钟伟才,刘静,焦李成.用于函数优化的正交Multi-Agent遗传算法[J].系统工程与电子技术,2004,26(9):1305-1311. 被引量:9
  • 4张乐,陆金桂.改进的免疫算法求解TSP问题[J].计算机工程与设计,2005,26(4):978-980. 被引量:10
  • 5蔡之华,彭锦国,高伟,魏巍,康立山.一种改进的求解TSP问题的演化算法[J].计算机学报,2005,28(5):823-828. 被引量:60
  • 6Brooks D,Tiwari V V,Martonosi M.Wattch:A framework for architectural-level power analysis and pptimizations[C].Proceedings of the 27th International Symposium on Computer Architecture,ISCA,2000.83-94.
  • 7Cai G,Lim C H.Architectural level power/performance optimization and dynamic power estimation[C].Cool Chips Tutorial collocated with MICRO32,1999.
  • 8Dhodapkar A,Lim C H,Cai G.TEMPEST:A thermal enabled multi-model power/performance estimator[C].Boston:Workshop on Power-Aware Computer Systems,2000.112-125.
  • 9Soraya Ghiasi,Dirk Grunwald.A comparison of two architectural power models[C].Cambridge:Workshop on Power-Aware Computer Systems,2000.137-151.
  • 10Seng J S,Tune E S,Tullsen D M.Reduceing power with dynamic critical path information[C].Los Alamitos:Proceedings of the 34th Annual International Symposium on Microarchitecture,IEEE Computer Society,2001.114-123.

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