We model and solve a real-life distribution problem faced by a fresh fruit supplier. This problem is formulated as a Multi-Product Split Delivery Capacitated Team Orienteering Problem with Incomplete Service and Soft Time Windows. The problem is modeled through a mixed integer linear programming formulation and solved by an Adaptive Large Neighborhood Search (ALNS) metaheuristic. Computational results over a large set of artificial instances show that the combination of ALNS with a multi-start scheme produces better results than a classical implementation of the ALNS in which a single solution is built and improved.
Bibliographical noteFunding Information:
This work was supported by CONACYT and the Canadian Natural Sciences and Engineering Research Council under grant 2015-06189. This support is gratefully acknowledged. Thanks are due to the referee who provided valuable comments on an earlier version of this paper.
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All Science Journal Classification (ASJC) codes
- Computer Science(all)