A Study on the Optimization of Minimum Operating Strip(MOS) Selection in Wartime Runways Using Harmony Search

This study proposes an optimization framework for selecting the Minimum Operating Strip(MOS) on wartime-damaged runways using the Harmony Search(HS) algorithm. The MOS selection problem involves multiple constraints, such as minimum runway length, repair resources, allowable damage rate, and maximum repair time. Traditional greedy methods often provide feasible solutions but fail to consider complex constraints or diverse candidate regions. By applying HS, this research demonstrates that MOS candidates can be identified more effectively, balancing repair time reduction and operational feasibility. Simulation experiments confirmed that HS improved repair time by approximately 8 ~ 15 % on average, with higher benefits under complex conditions. The results suggest that HS not only enhances computational efficiency but also strengthens decision-making support for airbase recovery operations. This study highlights the potential of metaheuristic algorithms in military engineering applications.