Research on Wartime Equipment Maintenance Support Forces Optimization Scheduling Problem

DOI

10.2991/ichssd-19.2019.9How to use a DOI?

Keywords

Maintenance Priority; Maintenance Support Forces; Optimization Scheduling; Genetic Algorithm

Abstract

In this paper, using the improved genetic algorithm and the priority weight of equipment maintenance method, we build up one tour route model that based on the largest maintenance weights under the control of minimum distance ,which has realized synchronous optimization of the maintenance support forces, the object of maintenance priority and driving route ,then we put forward the model of genetic algorithm, through the instance running and analysis of the results ,the new algorithm was effectively verified, thus this provides a new method and a train of thought on solution the problem of how to send equipment maintenance support forces during wartime.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan He
AU  - Jinsong Zhao
AU  - Shaocong Wang
AU  - Xuan Zhou
AU  - Zhen Chen
PY  - 2019/07
DA  - 2019/07
TI  - Research on Wartime Equipment Maintenance Support Forces Optimization Scheduling Problem
BT  - Proceedings of the 2019 4th International Conference on Humanities Science and Society Development (ICHSSD 2019)
PB  - Atlantis Press
SP  - 42
EP  - 48
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichssd-19.2019.9
DO  - 10.2991/ichssd-19.2019.9
ID  - He2019/07
ER  -