Multiobjective Vehicle-type Scheduling in Urban Public Transport

Abstract

In this paper, we study the problem of vehicle scheduling in urban public transport systems taking into account the vehicle-type (different capacity and operating cost) known as VTSP. It is modeled as a multiobjective optimization problem (MOP). We propose a heuristic based on MOCell (Multi-Objective Cellular evolutionary algorithm) to solve the problem… (More)
DOI: 10.1109/IPDPSW.2017.80

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Cite this paper

@article{Pena2017MultiobjectiveVS, title={Multiobjective Vehicle-type Scheduling in Urban Public Transport}, author={David Pena and Andrei Tchernykh and Sergio Nesmachnow and Renzo Massobrio and Alexander Feoktistov and Igor Bychkov}, journal={2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, year={2017}, pages={482-491} }