BEHAVIOR ANALYSIS OF A REPAIRABLE 2-OUT-OF-4 SYSTEM USING EVOLUTIONARY ALGORITHM

Abstract

This research paper explores the behavior analysis of a repairable 2-out-of-4 system utilizing an evolutionary algorithm approach. The 2-out-of-4 system configuration is a critical setup widely employed in various engineering applications, necessitating thorough understanding and optimization for reliability and performance enhancement. By integrating evolutionary algorithms with system analysis, this paper aims to optimize system parameters, such as redundancy allocation and maintenance scheduling, to improve reliability and availability. The proposed methodology offers a novel approach to address the challenges associated with the complex behavior of repairable 2-out-of-4 systems, providing insights for system designers and engineers.

Keywords

• behavior analysis
• evolutionary algorithm
• maintenance scheduling reliability optimization