Evolutionary and Nature-Inspired Algorithms for Disaster-Resilient Networks
Bidyarani Langpoklakpam, Lithungo K. Murry · IntechOpen eBooks · 2025
Disaster management system necessitates efficient and resilient communication networks to ensure effective emergency response and recovery efforts. Disasters pose significant challenges to communication infrastructures, often leading to breakdowns in communication networks and disrupting rescue and relief efforts. In recent years, metaheuristic algorithms have emerged as a promising solution for optimizing various aspects of disaster scenarios. In this paper, we investigate the use and application of metaheuristic algorithms for addressing various optimization problems that arise during emergency operations. The key challenges in disaster management design, including victim localization, routing, coverage, and resource allocation, are discussed. This study also discusses the strengths and limitations of different metaheuristic algorithms for disaster scenarios. Finally, it highlights recently developed models and future research directions in the application of metaheuristic algorithms for disaster area network optimization.