• Title/Summary/Keyword: steiner problem in a directed graph

Search Result 2, Processing Time 0.016 seconds

Valid Inequalities and Facets for the Steiner Problem in a Directed Graph

  • Myung, Young-Soo
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.21 no.1
    • /
    • pp.131-146
    • /
    • 1996
  • In this paper, we describe the facial structure of the steiner problem in a directed graph by formulating it as set covering problem. We first characterize trivial facets and derive a necessary condition for nontrival facets. We also introduce a class of valid inequalities with 0-1 coefficients and show when such inequalities define facets.

  • PDF

An Ant Colony Optimization Algorithm to Solve Steiner Tree Problem (스타이너 트리 문제를 위한 Ant Colony Optimization 알고리즘의 개발)

  • Seo, Min-Seok;Kim, Dae-Cheol
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.33 no.3
    • /
    • pp.17-28
    • /
    • 2008
  • The Steiner arborescence problem is known to be NP-hard. The objective of this problem is to find a minimal Steiner tree which starts from a designated node and spans all given terminal nodes. This paper proposes a method based on a two-step procedure to solve this problem efficiently. In the first step, graph reduction rules eliminate useless nodes and arcs which do not contribute to make an optimal solution. In the second step. ant colony algorithm with use of Prim's algorithm is used to solve the Steiner arborescence problem in the reduced graph. The proposed method based on a two-step procedure is tested in the five test problems. The results show that this method finds the optimal solutions to the tested problems within 50 seconds. The algorithm can be applied to undirected Steiner tree problems with minor changes. 18 problems taken from Beasley are used to compare the performances of the proposed algorithm and Singh et al.'s algorithm. The results show that the proposed algorithm generates better solutions than the algorithm compared.