Reliability Assessment and Optimization of Complex Systems

System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization. There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance). Recognizing the significance of system design in reliability optimization, 'Reliability Assessment and Optimization of Complex Systems' delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. Explains the process and application of reliability-based design optimizationCovers many metaheuristic approaches such as reliability, cost and MTTF of the system. These metaheuristics are implemented to solve several non-linear programming problems for engineering systemsProvides the working and application of multi-objective optimization. Such types of optimization are capable of dealing with engineering systems for maximum reliability with minimum cost