Heuristic for a Real-life Truck and Trailer Routing Problem
Author(s) -
Mikhail Batsyn,
Alexander Ponomarenko
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.05.328
Subject(s) - computer science , truck , trailer , heuristic , vehicle routing problem , greedy algorithm , routing (electronic design automation) , integer programming , operations research , mathematical optimization , computer network , algorithm , artificial intelligence , mathematics , physics , thermodynamics
In this paper we suggest a multi-start greedy heuristic for a real-life truck and trailer routing problem. The considered problem is a site dependent heterogeneous fleet truck and trailer routing problem with soft and hard time windows and split deliveries. This problem arises in delivering goods from a warehouse to stores of a big retail company. There are about 400 stores and 100 vehicles for one warehouse. Our heuristic is based on sequential greedy insertion of a customer to a route with further improvement of the solution. The computational experiments are performed for real-life data. We also provide a mixed integer linear programming formulation for precise and clear description of the problem
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom