 Algorithms for the minimum spanning tree problem with resource allocationSeiji Kataoka and Takeo Yamada Operations Research Perspectives, 2016, vol. 3, issue C, 5-13 Abstract: We formulate the minimum spanning tree problem with resource allocation (MSTRA) in two ways, as discrete and continuous optimization problems (d-MSTRA/c-MSTRA), prove these to be NP-hard, and present algorithms to solve these problems to optimality. We reformulate d-MSTRA as the knapsack constrained minimum spanning tree problem, and solve this problem using a previously published branch-and-bound algorithm. By applying a ‘peg test’, the size of d-MSTRA is (significantly) reduced. To solve c-MSTRA, we introduce the concept of f-fractionalsolution, and prove that an optimal solution can be found within this class of solutions. Based on this fact, as well as conditions for ‘pruning’ subproblems, we develop an enumerative algorithm to solve c-MSTRA to optimality. We implement these algorithms in ANSI C programming language and, through extensive numerical tests, evaluate the performance of the developed codes on various types of instances. Keywords: Minimum spanning tree problem; Resource allocation; Trade-off analysis; Branch-and-bound method (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:3:y:2016:i:c:p:5-13 DOI: 10.1016/j.orp.2015.12.001 Access Statistics for this article Operations Research Perspectives is currently edited by Rubén Ruiz Garcia More articles in Operations Research Perspectives from Elsevier |
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