Abstract
The Antagonistic Weapon-Target Assignment (AGWTA) problem is a crucial decision issue in Command & Control (C2). Since this is a minimax problem, co-evolutionary algorithms can be used to solve it effectively. However, the co-evolutionary algorithm is originally designed for continuous minimax problems which loses its efficiency to discrete contexts. In this paper, a novel elitism co-evolutionary algorithm is proposed to solve the AGWTA. Firstly, an improved AGWTA model for air combat based on the attack and evasion strategies is proposed. Secondly, an elite cooperative genetic algorithm based on the framework of the co-evolutionary algorithm is put forward. In this proposed algorithm, a problem-specific coding method and evolution operator are designed. Meanwhile, an elite individual update mechanism is presented. Finally, based on the analysis of the relationship between the feasible solutions under the air combat environment, an evaluation index is proposed. Experiments show that the proposed algorithm has higher accuracy than traditional co-evolutionary algorithms for solving AGWTA problems.
Highlights
Weapon target assignment (WTA) is a research hotspot in the field of command and control [1,2,3] and operational research [4,5,6]
To reflect the tactical characteristics of using attack and evasive strategies in air combat, this paper focuses on the design of an attack and evasive tactical strategy-oriented Antagonistic Weapon-Target Assignment (AGWTA) model for air combat environment, which reflects the characteristics of air combat antagonism from the perspective of using attack and evasive strategies
In general, increasing the population can make the algorithm search for more feasible solutions in the evolutionary process to improve the efficiency of the algorithm. In this experiment, increasing the elite population reduces the performance of the algorithm. This is because the elite cooperation mechanism is designed for the AGWTA problem
Summary
Weapon target assignment (WTA) is a research hotspot in the field of command and control [1,2,3] and operational research [4,5,6]. The above models reflect the characteristics of antagonistic weapon-target assignment (AGWTA) to a certain extent, they all describe the combat situation in which one side is the attacker and the other is the defender In view of this kind of combat situation, a typical combat scenario is an attack-defense antagonism in air combat. The process of air combat is so complex that some reasonable assumptions need to be made in advance to facilitate the analysis of the problem In this version of the AGWTA problem, it is assumed that both sides have a certain number of identical aircraft. The decision matrix of the evasion strategy adopted by red against blue is expressed as follows: if the jth blue aircraft is evade yiRj m×n.
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