Article number 2
Published in RGT on November 18, 2020

Representation of the greedy algorithms applicability for solving the combinatorial optimization problems based on the hypergraph mathematical structure

Keywords:
hypergraph, matroid, greedy algorithm, minimum spanning tree problem, combinatorial optimization problem

Abstract:

This paper deals with representing the structural organization of the combinatorial optimization problems in terms of the hypergraphs, whose hyperedges reflect the solutions of the original problem and its nested subproblems. By using the achievements of the matroid theory, the paper analyzes the parameters of such hypergraphs that determine the suitability of the corresponding problems for being processed by the greedy algorithms. In addition, the study contains the examples of the hypergraph structures constructed for the instance of the minimum spanning tree problem.

References:

A. Potebnia, "Method for classification of the computational problems on the basis of the multifractal division of the complexity classes", Problems of Infocommunications. Science and Technology (PIC S&T) Third International Scientific-Practical Conference on, pp. 1-4, 2016.

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J. Edmonds, "Matroids and the greedy algorithm", Mathematical Programming, vol. 1, pp. 127-136, 1971.

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C. Reidys and P. Stadler, "Combinatorial Landscapes", SIAM REVIEW, vol. 44, pp. 3-54, 2002.

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Original Scientific Articles in Graph Theory
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