Model and Algorithm of Reliable Location-Routing Problem for Perishable Goods
نویسندگان
چکیده
Based on the characteristics of perishable goods, we extend the location-routing problem with distance constraints by adopting chance constrained goal programming approach to solve the uncertainty and to express the different priority levels of decisions. The random of depot construction costs and vehicle routing travel time is taken into account. Meanwhile, a two-stage genetic algorithm incorporated with stochastic simulation is employed to solve the model. Computational experience is presented to illustrate the effectiveness of the solution procedure.
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