Finding a second Hamiltonian decomposition of a 4-regular multigraph by integer linear programming
Andrei V. Nikolaev () and
Egor V. Klimov ()
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Andrei V. Nikolaev: P.G. Demidov Yaroslavl State University
Egor V. Klimov: P.G. Demidov Yaroslavl State University
Journal of Combinatorial Optimization, 2024, vol. 47, issue 5, No 19, 31 pages
Abstract:
Abstract A Hamiltonian decomposition of a regular graph is a partition of its edge set into Hamiltonian cycles. We consider the second Hamiltonian decomposition problem: for a 4-regular multigraph, find 2 edge-disjoint Hamiltonian cycles different from the given ones. This problem arises in polyhedral combinatorics as a sufficient condition for non-adjacency in the 1-skeleton of the traveling salesperson polytope. We introduce two integer linear programming models for the problem based on the classical Dantzig-Fulkerson-Johnson and Miller-Tucker-Zemlin formulations for the traveling salesperson problem. To enhance the performance on feasible problems, we supplement the algorithm with a variable neighborhood descent heuristic w.r.t. two neighborhood structures and a chain edge fixing procedure. Based on the computational experiments, the Dantzig-Fulkerson-Johnson formulation showed the best results on directed multigraphs, while on undirected multigraphs, the variable neighborhood descent heuristic was especially effective.
Keywords: Hamiltonian decomposition; Traveling salesperson polytope; 1-skeleton; Integer linear programming; Dantzig-Fulkerson-Johnson formulation; Miller-Tucker-Zemlin formulation; Subtour elimination constraints; Edge-disjoint 2-factors; Local search; Variable neighborhood descent; Chain edge fixing; 05C85; 90C10; 90C57; 90C59; 52B05 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10878-024-01184-0
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