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基于矩阵环和操作的Mayeda生成树实用算法 被引量:7

Practical Mayeda Spanning Tree Method Based on Matrix Exclusive OR Operation
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摘要 无向图G的生成树问题,在电气工程和计算机科学领域应用广泛;针对Mayeda生成树不易编码实现问题,提出易于编码实现的Mayeda生成树实用算法及基于矩阵环和操作的实现方法。提出Mayeda生成树实用算法,并证明该实用算法生成树的不重复性和完备性;进而提出基于矩阵环和操作的实用算法的实现方法,以命题的形式证明了该实现方法的有效性;相对于遍历方法,该实现方法具有更高的计算效率。算法复杂性分析及算例均证明了所提方法的有效性。Mayeda生成树实用算法的完备性、不重复性(即不同的树支交换必定生成不同的树)以及基于矩阵环和操作实现方法的快速性,为基于它编码的电力系统配网重构随机进化优化快速获得其最优解奠定了理论基础。因此具有很好的工程应用前景。 Spanning tree problem of undirected graph G is widely used in electrical engineering and computer science. Considering the uneasy-coded problem of Mayeda spanning tree method, a practical Mayeda spanning tree method and its implementation strategy based on matrix exclusive OR operation were proposed in the paper. The practical Mayeda spanning tree method was presented, and its unrepeatability and completeness in constructing new trees were proved;then the implementation strategy of the practical method whose computional efficiency is higher than the traversal method, was presented based on matrix exclusive OR operation. The complexity analysis result of the algorithm and the case study results verified the effectiveness of the method. The completeness and unrepeatability (means different branch exchanges consequentially generate different trees) of the practical Mayeda spanning tree method, and the capability of the implementation strategy to quickly construct a new tree, laid a theoretical foundation for quickly achieving optimal solutions of stochastic evolutionary optimization in power distribution network reconfiguration based on the proposed coding method, and thus is feasible.
出处 《中国电机工程学报》 EI CSCD 北大核心 2014年第31期5659-5667,共9页 Proceedings of the CSEE
关键词 配网重构 Mayeda生成树 实用算法 矩阵环和操作 编码 distribution network reconfiguration Mayeda spanning tree practical method matrix exclusive OR operation encoding method
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参考文献15

  • 1卢开澄,卢华明.图论及应用[M].2 版.北京:清华大学出版社,2004 :3-4.
  • 2Rosen K.Discrete mathematics and its applications [M].7th ed.NewYork:McGraw-Hill Science,2011:10-23.
  • 3Minty G.A simple algorithm for listing all the trees of a graph[J].IEEE Transactions on Circuit Theory,1965,12(1):120-120.
  • 4Read R C.Bound on backtrack algorithms for listing cycles,paths,and spanning trees[J].Networks,1975(5):237-252.
  • 5房大中.生成无向图全部树的一种新算法[J].天津大学学报,1988(4):108-116.
  • 6Gabow H N,Myers E W.Finding all spanning trees of directed and undirected graphs[J].SIAM Journal on Computing,1978,7(3):280-287.
  • 7Mayeda W,Seshu S.Generation of trees without duplications[J].IEEE Transactions on Circuit Theory,1965,12(2):181-185.
  • 8Kapoor S,Ramesh H.Algorithms for generating all spanning trees of undirected,directed and weighted graphs :algorithms and data structures[M].Springer Berlin Heidelberg,1991:461-472.
  • 9Matsui T.An algorithm for finding all the spanning trees in undirected graphs[R/OL].1993-03.[2014-08- 29].http://www.keisu.t.u-tokyo.ac.jp/research/techrep/data/1993/METR93-08.pdf..
  • 10Shioura A,Tamura A.Efficiently scanning all spanning trees of an undirected graph[J].Journal of the Operations Research Society of Japan,1995,38(3):331-344.

二级参考文献20

  • 1刘蔚,韩祯祥.基于最优流法和遗传算法的配电网重构[J].电网技术,2004,28(19):29-33. 被引量:70
  • 2麻秀范,张粒子.基于十进制编码的配网重构遗传算法[J].电工技术学报,2004,19(10):65-69. 被引量:75
  • 3许立雄,吕林,刘俊勇.基于改进粒子群优化算法的配电网络重构[J].电力系统自动化,2006,30(7):27-30. 被引量:71
  • 4蒙文川,邱家驹.基于免疫算法的配电网重构[J].中国电机工程学报,2006,26(17):25-29. 被引量:84
  • 5Baran M E, Wu F F. Network reconfiguration in distribution systems for loss reduction and load balancing [J]. IEEE Trans. on Power Delivery, 1989, 4(4): 1401-1407.
  • 6Mendoza J, Lopez R' Morales D, et al. Minimal loss reconfiguration using genetic algorithms with restricted population and addressed operators real application [J]. IEEE Trans. on Power Systems, 2006, 21(2): 948-954.
  • 7Enacheanu B, Raison B, Caire R. Radial network reconfiguration using genetic algorithm based on the matroid theory[J]. IEEE Trans. on Power System, 2008, 23(1): 186-195.
  • 8Wang C, Cheng H Z. Optimization of network configuration in large distribution systems using plant growth simulation algorithm[J]. IEEE Trans. on Power System, 2008, 23(1): 119-126.
  • 9Kim H, Ko Y, Jung K H. Artifieial neural-network based feeder reconfiguration for loss reduction in distribution systems[J]. IEEE Trans. on Power Delivery, 1993, 8(3): 1356-1366.
  • 10Jipyng C, Chungfu C, Chingtzong S. Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems[J]. IEEE Trans. on Power Systems, 2005, 20(5): 668-674.

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