Optimization Method and Application in Python and Aviation

DOI

10.2991/assehr.k.220504.224How to use a DOI?

Keywords

Optimization Method; Application; Pyhton; Aviation

Abstract

Optimization methods have been formed and developed in recent decades and play an important role in many fields. In the aviation sector, it plays a role in everything from the design of air vehicles to the planning of routes, ticketing, etc. Through the method of literature review, this paper introduces optimization methods and their applications in aviation and python. In the theoretical aspect, mathematical methods involved in optimization methods and some python applications of them are included in this paper. In terms of real-world applications, this paper discusses the application of optimization methods in the field of aviation. The paper finds that different optimisation approaches have certain pitfalls in use, such as the gradient descent method used by the authors of this paper, which in some cases may converge to a local minimum rather than a global minimum. Besides, it iterates at a reduced speed near the extremes.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Penglong Qin
PY  - 2022
DA  - 2022/06/01
TI  - Optimization Method and Application in Python and Aviation
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 1236
EP  - 1240
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.224
DO  - 10.2991/assehr.k.220504.224
ID  - Qin2022
ER  -