NSGA-II based fuzzy multi-objective reliability analysis

Hemant Kumar () and Shiv Prasad Yadav ()
Additional contact information
Hemant Kumar: Indian Institute of Technology Roorkee
Shiv Prasad Yadav: Indian Institute of Technology Roorkee

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 4, No 12, 817-825

Abstract: Abstract In many practical situations, we need to reduce the cost of the system and improve its reliability simultaneously. At the same time, all the design data involved in the system design are not precisely known. Incompleteness and unreliability of input information are typical for many practical problems in the multi-objective optimization of system design. In this work, we have analyzed fuzzy multi-objective optimization problem of main characteristics of system design such as reliability and cost simultaneously based on non-dominated sorting genetic algorithm-II (NSGA-II). NSGA-II is one of the multi-objective evolutionary algorithms (MOEAs), provides the decision-maker with a complete picture of the Pareto-optimal solutions space. It finds increasing applications in solving the multi-objective optimization problem (MOOP) because of low computational requirements, elitism, and parameter-less sharing approach. A brief description of NSGA-II and its use for MOOP is given. We have obtained multiple solutions (Pareto-optimal solutions) in a single simulation run. A numerical example of a series system is given to illustrate the proposed approach.

Keywords: System reliability; Multi-objective optimization problem (MOOP); Fuzzy optimization; Membership function; Pareto-optimal front (POF); Crowding distance; Rank (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-017-0672-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:4:d:10.1007_s13198-017-0672-y

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-017-0672-y

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().