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- W2003250030 abstract "This paper presents a novel mathematical model for a stochastic location-routing problem (SLRP) that minimizes the facilities establishing cost and transportation cost, and maximizes the probability of delivery to customers. In this proposed model, new aspects of a location-routing problem (LRP), such as stochastic availability of facilities and routes, are developed that are similar to real-word problems. The proposed model is solved in two stages: (i) solving the facility location problem (FLP) by a mathematical algorithm and (ii) solving the multi-objective multi-depot vehicle routing problem (MO-MDVRP) by a simulated annealing (SA) algorithm hybridized by genetic operators, namely mutation and crossover. The proposed SA can find good solutions in a reasonable time. It solves the proposed model in large-scale problems with acceptable results. Finally, a trade-off curve is used to depict and discuss a large-sized problem. The associated results are compared with the results obtained by the lower bound and Lingo 8.0 software." @default.
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- W2003250030 date "2009-04-30" @default.
- W2003250030 modified "2023-10-16" @default.
- W2003250030 title "Solving a multi-objective multi-depot stochastic location-routing problem by a hybrid simulated annealing algorithm" @default.
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- W2003250030 doi "https://doi.org/10.1243/09544054jem1349" @default.
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