A Novel Reliability Optimization Framework Based on Whale Optimization Algorithm for Multi-Component Systems: A Review
Research Scholar, Department of Mathematics, Baba Mastnath University, Asthal Bohar, Rohtak
Research Supervisor, Department of Mathematics, Baba Mastnath University, Asthal Bohar, Rohtak
Research Supervisor, Department of Mathematics, Baba Mastnath University, Asthal Bohar, Rohtak
Abstract
The reliability optimization of multi-component systems remains a complex challenge in engineering, given the nonlinear, multi-modal, and highly constrained nature of real-world applications. Traditional mathematical programming approaches often fail to effectively handle the intricacies of modern systems, especially when practical constraints and large-scale configurations are involved. Metaheuristic algorithms have thus become increasingly vital, with the Whale Optimization Algorithm (WOA) emerging as a promising nature-inspired solution due to its unique search dynamics and adaptability. This review synthesizes the latest advancements in WOA-based reliability optimization frameworks for multi-component systems, examining the evolution of metaheuristic approaches, benchmarking results, and practical constraints integration. Key research gaps, including tailored constraint handling, hybridization, parameter tuning, and real-world applicability, are discussed, highlighting future directions for both theoretical and applied research in reliability engineering.
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Keywords
Reliability optimization, Whale Optimization Algorithm, Multi-component systems, Metaheuristics, Series-parallel systems, Constraint handling, Engineering design
Cite This Paper
Sheetal, Prof. (Dr.) Jagatveer Singh, "A Novel Reliability Optimization Framework Based on Whale Optimization Algorithm for Multi-Component Systems: A Review," in International Conference on Intelligent Engineering & Future Technologies (ICIEFT-2026), pp. 46-54.
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