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

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.