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A new chance-constrained maximum capture location problem
Colomé, Rosa; Ramalhinho-Lourenço, Helena; Serra, Daniel
Universitat Pompeu Fabra. Departament d'Economia i Empresa
The paper presents a new model based on the basic Maximum Capture model,MAXCAP. The New Chance Constrained Maximum Capture modelintroduces astochastic threshold constraint, which recognises the fact that a facilitycan be open only if a minimum level of demand is captured. A metaheuristicbased on MAX MIN ANT system and TABU search procedure is presented tosolve the model. This is the first time that the MAX MIN ANT system isadapted to solve a location problem. Computational experience and anapplication to 55 node network are also presented.
Operations Management
stochastic location
capture models
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