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Authors: Slawomir Wesolkowski 1 ; Gregory Patchell 2 and Akshay Dwarkan 3

Affiliations: 1 Defence R&D Canada, Canada ; 2 University of Waterloo, Canada ; 3 University of Ottawa, Canada

Keyword(s): Genetic Algorithms, Pareto-optimal Solutions, NSGA-II, Multi-objective Optimization.

Abstract: The Canadian Armed Forces periodically examines aircraft, ship or ground vehicle fleets to determine if they need to reduce, keep the same or increase the number of platforms in their fleets. We adapt previous work on fleet estimation and multi-objective optimization to compute a Pareto-optimal set of fleets at multiple locations, taking into account mission scheduling. We apply our model, which uses a genetic algorithm based on NSGA-II, to a sample of notional scenarios to demonstrate the effectiveness of the approach.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wesolkowski, S.; Patchell, G. and Dwarkan, A. (2018). Computing a Multi-location Aircraft Fleet Mix. In Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-285-1; ISSN 2184-4372, SciTePress, pages 124-131. DOI: 10.5220/0006646701240131

@conference{icores18,
author={Slawomir Wesolkowski. and Gregory Patchell. and Akshay Dwarkan.},
title={Computing a Multi-location Aircraft Fleet Mix},
booktitle={Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2018},
pages={124-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006646701240131},
isbn={978-989-758-285-1},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Computing a Multi-location Aircraft Fleet Mix
SN - 978-989-758-285-1
IS - 2184-4372
AU - Wesolkowski, S.
AU - Patchell, G.
AU - Dwarkan, A.
PY - 2018
SP - 124
EP - 131
DO - 10.5220/0006646701240131
PB - SciTePress