Cybernetics and Systems Analysis / Issue (2018, 54 (1))
Yakovlev S.V.,
Pichugina O.S.
Properties of combinatorial optimization problems over polyhedral-spherical sets The class of combinatorial optimization problems over polyhedral-spherical sets is considered. The results of theory of convex extensions are generalized to certain classes of functions defined on sphere-located and vertex-located sets. The original problem is equivalently formulated as a mathematical programming problem with convex both objective function and functional constraints. A numerical illustration and possible applications of the results to solving combinatorial optimization problems are given. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. Keywords: combinatorial optimization, continuous representation, convex extension, polyhedral-spherical set, Combinatorial optimization, Functional programming, Functions, Mathematical programming, Optimization, Spheres, Combinatorial optimization problems, continuous representation, convex extension, Functional constraints, Mathematical programming problem, Objective functions, polyhedral-spherical set, Problem solving
Cite: Yakovlev S.V.,
Pichugina O.S.
(2018). Properties of combinatorial optimization problems over polyhedral-spherical sets. Cybernetics and Systems Analysis, 54 (1), 111-123. doi: https://doi.org/10.1007/s10559-018-0011-6 http://jnas.nbuv.gov.ua/article/UJRN-0000805862 [In Russian]. |