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UDC 519.85
P.I. Stetsyuk1, О.M. Khomiak2, Ye.A. Blokhin3, A.A. Suprun4


1 V.M. Glushkov Institute of Cybernetics,
National Academy of Sciences of Ukraine,
Kyiv, Ukraine

stetsyukp@gmail.com

2 V.M. Glushkov Institute of Cybernetics,
National Academy of Sciences of Ukraine,
Kyiv, Ukraine

khomiak.olha@gmail.com

3 Texas A&M University,
College Station, USA

blokhin23@tamu.edu

4 V.M. Glushkov Institute of Cybernetics,
National Academy of Sciences of Ukraine,
Kyiv, Ukraine

anton_s2007@ukr.net

OPTIMIZATION PROBLEMS FOR THE MAXIMUM k-PLEX

Abstract. A quadratic optimization problem for finding the maximum k-plex in an undirected graph is constructed. Two families of superfluous quadratic constraints are presented, which are obtained by means of constraints of the Boolean linear programming problem for the maximum k-plex. The influence of superfluous constraints on the improvement of the accuracy of Lagrangian dual bounds for the objective function of the quadratic problem is investigated. An algorithm for searching all the maximum k-plexes is developed and the results of test experiments for its implementation using the GLPK software package (GNU Linear Programming Kit) are presented.

Keywords: maximum k-plex, maximum clique, quadratic optimization problem, Boolean linear programming problem, superfluous constraint, Lagrangian dual bound.


FULL TEXT

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