Modified wild horse optimizer based approach for solving constraint reliability redundancy optimization problems

Authors

  • School of Computer Science Engineering \& Applications, D. Y. Patil International University (DYPIU), Akrudi, Pune 411044, Maharashtra, India.
  • Department of Mathematics, University of Petroleum \& Energy Studies, Dehradun 248007, India.
  • School of Computer Science Engineering and Technology, Bennett University, Greater Noida, 201310, India.
  • Department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Lavale, Pune 412115, Maharashtra, India
  • Department of Physical Sciences, Jaypee University Anoopshahr, Bulandshahr, 203390, India.
  • Department of Mathematics, Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.

Abstract

The Reliability Redundancy Allocation Problem (RRAP) is a complex optimization problem that involves determining the optimal deployment of redundant components to enhance overall system performance. Exact approaches can be computationally expensive and time-consuming for large-scale tasks due to the combinatorial nature of the problem. This article employs a modified version of the recently developed population-based metaheuristic called "Wild Horse Optimization" to optimize the RRAP problem subject to nonlinear constraints. Three RRAP standard benchmark problems have been taken into consideration, and a modified WHO (MWHO) was employed to determine the optimal allocation of redundant components. This research demonstrates that MWHO outperforms current meta-heuristic methods and is a promising approach for solving RRAP.

Published

2024-05-24

How to Cite

Modified wild horse optimizer based approach for solving constraint reliability redundancy optimization problems. (2024). Nonlinear Studies, 31(2). https://nonlinearstudies.com/index.php/nonlinear/article/view/3609