Reliability-Redundancy Optimization of an Overspeed Protection System of a Gas Turbine by Modified Wild Horse Optimizer

This article addresses the persistent challenges involved in the complex system reliability redundancy optimization of the overspeed protection system of a gas turbine (OPSGT), which is an essential complex system for ensuring the turbine's safety. The optimal functionality of this complex reliability-redundancy is achieved by means of a novel nature-inspired computational approach named the Modified Wild Horse Optimization Algorithm (MWHO), inspired by the behavior of wild horses. The MWHO algorithm efficiently delivers optimal solutions to this complex NP-hard problem, showcasing its potential in solving various complex system reliability optimization problems. This efficiency is easily verified through extensive numerical simulations, demonstrating that the outcomes produced by MWHO exhibit outstanding performance when compared to various existing metaheuristics. Hence, the MWHO not only introduces a fresh perspective in tackling associated reliability-redundancy optimization challenges but also establishes itself as a competitive and efficient algorithm in the complex realm of system reliability optimization.