Defensive strategy optimization of consecutive-k-out-of-n systems under deterministic external risks

Abstract

Consecutive-k-out-of-n (Con/k/n) system, a reconfigurable system, can improve the system performance by adjusting the redundancy and assignment of components. This paper aims to determine the optimal defensive strategy of Con/k/n systems under external risks. The defensive capability of Con/k/n systems is evaluated based on real-time system reliability, and a defensive importance measure (DIM) is constructed to optimize components’ redundancy locally. To solve the proposed optimization model effectively, a DIM-based genetic algorithm (DIGA) is developed by integrating the advantages of DIM’s local search with the global search ability of the classical genetic algorithm (CGA). The numerical experiment under 36 scenarios illustrates that DIGA is more effective than CGA verified by average defensive capability, robustness, and convergence generations. Moreover, the redundancy distribution analysis of Con/k/5 systems in the optimal defensive strategy shows that the redundancy of F(G) systems is in a spaced (continuous) way under spacing k-1 risk or continuous k risk.

Start-Up Strategy-Based Resilience Optimization of Onsite Monitoring Systems Containing Multifunctional Sensors

“…System Performance Indexes Optimization Algorithms [18] Integrated response [19] The disaster probability, caused damage, and response measures in grid Generation decomposition algorithm [20] Failure time and recovery probability Segmentation algorithm [21] Scale function [22] Recovery curve Network topology optimization [23] Fuzzy logical relationship [24] Probability for decision making Monte Carlo simulation algorithm [25] Energy efficiency and energy security [26] Analog derivation [27] Failure time and recovery rate [28] Examination time and functional level [29] defensive capability Genetic algorithm [30] Examination time and functional level [31] Cooperative coverage model Many scholars have analyzed and evaluated the performance of multifunctional systems. The reliability of a one-shot system containing multifunctional components was analyzed using an integrated analysis of component reliability, function reliability, and the interrelationship among the components and functions [32].…”

“…To maximize infrastructure resilience, limited budgets and resources must be wisely allocated to components to reduce the consequences of low-probability high-impact events [28]. The optimal defense strategy of reconfigurable systems was obtained using a genetic algorithm to maximize the defensive capability for resisting external risks [29]. Resilience enhancement strategies can be obtained using a fast non-dominated sorting genetic algorithm to minimize costs and maximize system resilience [30].…”