Computing a Multi-location Aircraft Fleet Mix

Slawomir Wesolkowski, Gregory Patchell, Akshay Dwarkan

2018

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICORES, ISBN 978-989-758-285-1, pages 124-131. DOI: 10.5220/0006646701240131

in Bibtex Style

@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 - Volume 1: ICORES,},
year={2018},
pages={124-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006646701240131},
isbn={978-989-758-285-1},
}

in EndNote Style

TY - CONF

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