Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration
Zhiwei Chen, Dongpao Hong, Weiwei Cui, Weikang Xue, Yao Wang, Jilong Zhong
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.