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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19092
Title: Using NSGA-II to solve interactive fuzzy multi-objective reliability optimization of complex system
Authors: Kumar H.
Yadav, Shiv Prasad
Bansal J.C.
Nagar A.
Ojha A.K.
Das K.N.
Deep K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: In the real-world problem, reliability enhancement is one of the primary concerns in the system design. A conflicting situation often occurs when the cost of the system is reduced and its reliability is improved simultaneously. Practically, design data included in the system are not found specific. Various types of uncertainty such as vagueness, qualitative statements, expert’s information character etc. are found in the multi-objective optimization of reliability problems. Multiple solutions (Pareto-optimal solutions) are obtained in multi-objective optimization problem (MOP) where a decision-maker (DM) plays a crucial role in decision-making process. In view of such things, a fuzzy multi-objective reliability optimization model is developed interactively. Numerical examples of complex systems are given for the illustrations. To solve the problems, an efficient multi-objective evolutionary algorithm (MOEA), namely NSGA-II is employed. Finally, we get the solutions according to the preference of the DM. © Springer Nature Singapore Pte Ltd. 2019.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2019), 399- 412
URI: https://doi.org/10.1007/978-981-13-1592-3_31
http://repository.iitr.ac.in/handle/123456789/19092
Issue Date: 2019
Publisher: Springer Verlag
Keywords: Membership function
Multi-objective optimization problem (MOP)
NSGA-II
Pareto-optimal front
System reliability
Decision making
Evolutionary algorithms
Large scale systems
Membership functions
Multiobjective optimization
Pareto principle
Reliability
Soft computing
Multi objective evolutionary algorithms
Multi-objective optimization problem
NSGA-II
Pareto optimal solutions
Pareto-optimal front
Reliability enhancement
Reliability optimization
System reliability
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 57196390327
57209022284
Author Affiliations: Kumar, H., Department of Mathematics, I.I.T. Roorkee, Roorkee, Uttarakhand 247667, India
Yadav, S.P., Department of Mathematics, I.I.T. Roorkee, Roorkee, Uttarakhand 247667, India
Funding Details: The authors acknowledge the MHRD, Government of India, for the financial
Corresponding Author: Kumar, H.; Department of Mathematics, I.I.T. RoorkeeIndia; email: hemantkumar2654@gmail.com
Appears in Collections:Conference Publications [MA]

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