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Metaheuristic approaches to a vehicle scheduling problem in sugar beet transportation

  • Ana Anokić
  • Zorica StanimirovićEmail author
  • Đorđe Stakić
  • Tatjana Davidović
Original paper
  • 50 Downloads

Abstract

A variant of vehicle scheduling problem (VSP) arising from the sugar beet transportation in a sugar factory in Serbia is introduced. The objective of the considered VSP is to minimize the required transportation time under problem-specific constraints. The problem is formulated as a mixed integer linear program (MILP). Within the framework of commercial CPLEX solver the proposed MILP model was able to produce optimal solutions for small size problem instances. Therefore, two metaheuristic methods, variable neighborhood search (VNS) and greedy randomized adaptive search procedure (GRASP), are designed to solve problem instances of larger dimensions. The proposed GRASP and VNS are evaluated and compared against CPLEX and each other on the set of real-life and generated problem instances. Computational results show that VNS is superior method with respect to the solution quality, while GRASP is able to find high quality solutions within very short running times.

Keywords

Optimization in transport Vehicle scheduling problem Mixed integer linear programming Variable neighborhood search Greedy Randomized Adaptive Search Procedure 

Mathematics Subject Classification

90B06 68T20 90C11 

Notes

Acknowledgements

The authors also state that the research conducted in this paper was partially supported by Serbian Ministry of Education, Science and Technological Development under the Grants Nos. 174010 and 174033.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.ZemunSerbia
  2. 2.Faculty of MathematicsUniversity of BelgradeBelgradeSerbia
  3. 3.Faculty of EconomicsUniversity of BelgradeBelgradeSerbia
  4. 4.Mathematical Institute of the Serbian Academy of Science and ArtsBelgradeSerbia

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