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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Basic VNS Algorithms for Solving the Pollution Location Inventory Routing Problem
verfasst von : Panagiotis Karakostas, Angelo Sifaleras, Michael C. Georgiadis
Erschienen in: Variable Neighborhood Search
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Abstract
This work presents a new variant of the Location Inventory Routing Problem (LIRP), called Pollution LIRP (PLIRP). The PLIRP considers both economic and environmental impacts. A Mixed Integer Programming (MIP) formulation is employed and experimental results on ten randomly generated small-sized instances using CPLEX are reported. Furthermore, it is shown that, CPLEX could not compute any feasible solution on another set of ten randomly generated medium-sized instances, with a time limit of five hours. Therefore, for solving more computationally challenging instances, two Basic Variable Neighborhood Search (BVNS) metaheuristic approaches are proposed. A comparative analysis between CPLEX and BVNS on these 20 problem instances is reported.