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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/23302
Title: Reliability–Redundancy Allocation Using Random Walk Gray Wolf Optimizer
Authors: Gupta S.
Deep, K.
Assad A.
Das K.N.
Bansal J.C.
Deep K.
Nagar A.K.
Pathipooranam P.
Naidu R.C.
Published in: Advances in Intelligent Systems and Computing
8th International Conference on Soft Computing for Problem Solving, SocProS 2018
Abstract: From some past recent years, Swarm Intelligence (SI) based optimization algorithms have shown their impact in finding the efficient solutions of real-life application problems that occur in engineering, science, industry, and in various other fields. Gray Wolf Optimizer (GWO) is an efficient and popular optimizer in the area of SI to solve nonlinear complex optimization problems. GWO mimics the dominant leadership characteristic of gray wolves to catch the prey. But, like other stochastic search algorithms, GWO gets trapped in local optimums in some cases. Therefore in the present study, Random Walk Gray Wolf Optimizer (RW-GWO) is applied to determine—(1) the optimal redundancies to optimize the system reliability with constraints on volume, weight, and system cost in series, series–parallel, and complex bridge systems and (2) the optimum cost of two different types of complex systems with constraints imposed on system reliability. The obtained results are compared with classical GWO and some other optimization algorithms that are used to solve reliability problems in the literature. The comparison shows that the RW-GWO is comparatively an efficient algorithm to solve the reliability engineering problems. © 2020, Springer Nature Singapore Pte Ltd.
Citation: Advances in Intelligent Systems and Computing (2020), 1048: 941-959
URI: https://doi.org/10.1007/978-981-15-0035-0_75
http://repository.iitr.ac.in/handle/123456789/23302
Issue Date: 2020
Publisher: Springer
Keywords: Constraint handling
Gray wolf optimizer
Swarm intelligence
System reliability
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 57209786185
8561208900
57189041771
Author Affiliations: Gupta, S., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Assad, A., Department of Computer Science and Engineering, Islamic University of Science & Technology, Awantipora, Jammu and Kashmir 247955, India
Corresponding Author: Gupta, S.; Department of Mathematics, India; email: g.shubh93@gmail.com
Appears in Collections:Conference Publications [MA]

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