An algorithm for joint air defense problem based on improved r-NSGA-Ⅱ algorithm

Abstract

Based on the air defense and antimissile operations of traditional kinetic energy weapons and modern high-energy laser weapons, a dynamic weapon target assignment model of heterogeneous defense weapons with multiple tactical targets is established; Considering the commander's choice preference, the optimization framework of weapon target allocation based on improved r-NSGA-Ⅱ algorithm is proposed, and the specific optimization process is given; Based on the specific operational scenario, the design experiment is designed to compare the improved r-NSGA-Ⅱ algorithm with NSGA-Ⅱ, NSGA-Ⅲ, MOEA/D and other classical algorithms in terms of convergence, distribution, time complexity and other performance indicators. The experimental results show that the improved r-NSGA-Ⅱ algorithm can better reflect the commander's operational preferences and intentions while ensuring the computational efficiency.

Keywords

• weapon target assignment|joint air defense|preference set|multi-objective optimization