Fast bounding procedures for large instances of the Simple Plant Location Problem
Computers and Operations Research
An aggregation heuristic for large scale p-median problem
Computers and Operations Research
A new primal-dual genetic algorithm: case study for the winner determination problem
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
A genetic algorithm hybridized with the discrete lagrangian method for trap escaping
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
A General VNS heuristic for the traveling salesman problem with time windows
Discrete Optimization
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The variable neighborhood search metaheuristic is applied to the primal simple plant-location problem and to a reduced dual obtained by exploiting the complementary slackness conditions. This leads to (i) heuristic resolution of (metric) instances with uniform fixed costs, up to n=15,000 users, and m=n potential locations for facilities with an error not exceeding 0.04%; (ii) exact solution of such instances with up to m=n=7,000; and (iii) exact solutions of instances with variable fixed costs and up to m=n=15,000.