
doi: 10.1002/net.22132
handle: 10550/88339 , 10550/95667
AbstractThis work focuses on the capacitated dispersion problem for which we study several mathematical formulations in different spaces using variables associated with nodes, edges, and costs. The relationships among the presented formulations are investigated by comparing the projections of the feasible sets of the LP relaxations onto the subspace of natural variables. These formulations are then strengthened with families of valid inequalities and variable‐fixing procedures. The separation problems associated with the valid inequalities that are exponential in number are shown to be polynomially solvable by reducing them to longest path problems in acyclic graphs. The dual bounds obtained from stronger but larger formulations are used to improve the strength of weaker but smaller formulations. Several sets of computational experiments are conducted to illustrate the usefulness of the findings, as well as the aptness of the formulations for different types of instances.
Technology, Operations Research, separation, Combinatorial optimization, dispersion problem, MODELS, DIVERSITY, extended formulation, telescopic sums, 4606 Distributed computing and systems software, valid inequalities, FACILITY DISPERSION, 0102 Applied Mathematics, LOCATION, 4901 Applied mathematics, Computer Science, Hardware & Architecture, polyhedral combinatorics, 0802 Computation Theory and Mathematics, Science & Technology, Operations Research & Management Science, 0103 Numerical and Computational Mathematics, UNESCO::CIENCIAS TECNOLÓGICAS, location science, Computer Science, P-CENTER
Technology, Operations Research, separation, Combinatorial optimization, dispersion problem, MODELS, DIVERSITY, extended formulation, telescopic sums, 4606 Distributed computing and systems software, valid inequalities, FACILITY DISPERSION, 0102 Applied Mathematics, LOCATION, 4901 Applied mathematics, Computer Science, Hardware & Architecture, polyhedral combinatorics, 0802 Computation Theory and Mathematics, Science & Technology, Operations Research & Management Science, 0103 Numerical and Computational Mathematics, UNESCO::CIENCIAS TECNOLÓGICAS, location science, Computer Science, P-CENTER
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