Modified Wild Horse Optimizer for Constrained System Reliability Optimization
Author:
Kumar Anuj1ORCID, Pant Sangeeta2ORCID, Singh Manoj K.3, Chaube Shshank1ORCID, Ram Mangey4, Kumar Akshay5ORCID
Affiliation:
1. Department of Mathematics, University of Petroleum and Energy Studies, Dehradun 248007, India 2. School of Engineering and Computing, Dev Bhoomi Uttarakhand University, Dehradun 248007, India 3. School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, India 4. Department of Mathematics, Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun 248002, India 5. Department of Mathematics, Graphic Era Hill University, Dehradun 248002, India
Abstract
The last few decades have witnessed advancements in intelligent metaheuristic approaches and system reliability optimization. The huge progress in metaheuristic approaches can be viewed as the main motivator behind further refinement in the system reliability optimization process. Researchers have intensively studied system reliability optimization problems (SROPs) to obtain the optimal system design with several constraints in order to optimize the overall system reliability. This article proposes a modified wild horse optimizer (MWHO) for SROPs and investigates the reliability allocation of two complex SROPs, namely, complex bridge system (CBS) and life support system in space capsule (LSSSC), with the help of the same process. The effectiveness of this framework based on MWHO is demonstrated by comparing the results obtained with the results available in the literature. The proposed MWHO algorithm shows better efficiency, as it provides superior solutions to SROPs.
Subject
Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis
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