Tactical preference based objectives for solving an evasion problem of fighter in air combat

Zhen Yang, Deyun Zhou, Yiyang Zhao, Weiren Kong, Kai Zhang, Lina Zeng

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Evasive maneuvers of fighter only consider the objective of miss distance in traditional air combat decision problems. The amalgamative tactical demands of achieving self-conflicting evasive objectives in actual air combat are taken into account in this paper. A method to generate a strategy of evasive maneuvers based on tactical preference is proposed. Tactical preference is given to higher miss distance, less energy consumption, and higher terminal superiority. The evasion problem in air combat is defined and reformulated into a multi-objective optimization problem, which is solved by a multi-objective evolutionary algorithm. Simulation results show the feasibility and effectiveness of the proposed method, and a set of approximate Pareto-optimal solutions are obtained to satisfy the tactical preference.

Original languageEnglish
Article number012024
JournalJournal of Physics: Conference Series
Volume1570
Issue number1
DOIs
StatePublished - 18 Jun 2020
Event2020 3rd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2020 - Zhangjiajie, China
Duration: 24 Apr 202026 Apr 2020

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