Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration

Abstract

The weapon system of systems (WSoS) is a collection of various weapon systems used to achieve a common goal and mission. Stakeholders are committed to lowering design costs while achieving greater resilience. In this paper, we establish a resilience evaluation and optimal design method for WSoS under different attack and reconfiguration strategies that can balance its resilience and cost. Firstly, a WSoS-oriented three-phase resilience model and evaluation algorithm are developed, taking into account resistance, adaptability, and recovery factors. Then, a resilience-based WSoS cost model is presented to assess the cost of new equipment, improved equipment, and resilience-associated costs. Additionally, a resilience-based optimization model is proposed that considers reduced costs and increased resilience. Non-dominated sorting in genetic algorithms: II (NSGA-II) is selected to achieve the Pareto optimal solution. Finally, a typical 5-node formation air defense WSoS is utilized to illustrate the resilience evaluation and optimization design, which can serve as a reference for WSoS design.