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<p>The Reliability Redundancy Allocation Problem (RRAP) is a popular and important problem popular problem in reliability optimization. RRAP maximizes system reliability by assessing the redundancy and reliability variables in every subsystem with three constraints, namely, volume, cost, and weight. In this research, a solar water pump power plant for farms is developed in a series manner for RRAP. The reliability of the overall system is obtained by utilizing three metaheuristic algorithms i.e., Grew Wolf Optimization (GWO), Cuckoo Search (CS), and Hybrid of Grew Wolf Optimization and Cuckoo Search (HGWOCS). To evaluate the performance of a proposed system, the authors have compared the obtained results of each algorithm using tabular and graphical representations. The robustness of the hybrid GWO-CS is validated by the comparison among there algorithms where HGWOCS has achieved the maximum reliability 0.9723 for the proposed system.</p>

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Optimal reliability–redundancy allocation of solar water pump power plant for farm

  • 期刊论文

  • 发表日期：

    2025年6月16日

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  • Shivani Choudhary,
  • Nupur Goyal,
  • Mangey Ram,
  • Ashok Singh Bhandari,
  • Seema Saini

摘要

The Reliability Redundancy Allocation Problem (RRAP) is a popular and important problem popular problem in reliability optimization. RRAP maximizes system reliability by assessing the redundancy and reliability variables in every subsystem with three constraints, namely, volume, cost, and weight. In this research, a solar water pump power plant for farms is developed in a series manner for RRAP. The reliability of the overall system is obtained by utilizing three metaheuristic algorithms i.e., Grew Wolf Optimization (GWO), Cuckoo Search (CS), and Hybrid of Grew Wolf Optimization and Cuckoo Search (HGWOCS). To evaluate the performance of a proposed system, the authors have compared the obtained results of each algorithm using tabular and graphical representations. The robustness of the hybrid GWO-CS is validated by the comparison among there algorithms where HGWOCS has achieved the maximum reliability 0.9723 for the proposed system.