Target Selection for Multi-domain Combat SoS Breaking with Operational Constraints

Abstract

Modern warfare has become increasingly expensive as a result of its multi-domain joint systematic combat model. To achieve the purpose of stopping war with war and maintaining the safety of people's lives and property, paralyzing the target system of systems (SoS) operational capability maximally under constraints, such as battlefield resources and environment, has become an urgent research topic. This paper addresses the problem of fast search for the optimal solution of the strike target selection task, which considers operational constraints, dynamic coupling of node states, and dimensional explosion. Firstly, a capability aggregation-based target SoS operational capability calculation model and an operational constraint-based strike target selection model are established. Then, an adaptive genetic simulated annealing algorithm (AGSA) is proposed for fast model solving. The algorithm is carefully designed to address the constraints of the strike target selection task, which enables it to accomplish individual selection and coding updates, improve population diversity, and ensure search performance. Eventually, the simulation results under three different scenarios demonstrate the effectiveness of AGSA.