首页 | 本学科首页   官方微博 | 高级检索  
     

求解最大流问题的算法
引用本文:赵礼峰,邵丽萍.求解最大流问题的算法[J].计算机工程与设计,2019,40(8):2224-2227,2241.
作者姓名:赵礼峰  邵丽萍
作者单位:南京邮电大学理学院,江苏南京,210023;南京邮电大学理学院,江苏南京,210023
摘    要:为提高网络最大流问题的算法效率,通过减弱对最短增广链算法的约束,给出一种增载轨算法。将剩余网络替换成余网络,它不必记录分层剩余网络邻接矩阵;根据余网络的特点,进一步将余网络划分成若干个区域,降低算法的空间复杂度。实验结果表明,在BA无标度网络中该算法与最短增广链算法的计算结果相同,其运行效率比最短增广链算法高,为大规模网络最大流问题提供了较为高效的求解算法。

关 键 词:最大流  最短增广链算法  剩余网络  余网络  BA无标度网络

Algorithm for solving maximum flow problem
Li-feng,SHAO Li-ping.Algorithm for solving maximum flow problem[J].Computer Engineering and Design,2019,40(8):2224-2227,2241.
Authors:Li-feng  SHAO Li-ping
Affiliation:(School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
Abstract:To increase the algorithm efficiency of the network maximum flow problem,an augmenting path algorithm was proposed by relaxing constraints of shortest augmenting chain.The residual network was replaced with a remainder network,which eliminated the needs to record the adjacency matrix of the hierarchical residual network.At the same time,the remainder network was divided into several regions according to the characteristics of the remaining network,thereby reducing the spatial complexity of the algorithm.Results of simulation show that the calculation results of the proposed algorithm and the shortest augmented chain algorithm are the same in BA scale-free networks,and the proposed one is more efficient than the shortest augmented chain algorithm,which provides a relatively efficient solution algorithm for the maximum flow problem of large-scale network.
Keywords:maximum flow  shortest augmenting chain  residual network  remainder network  BA scale-free network
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号