A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC
Joint Authors
Montevechi, José Arnaldo Barra
Marins, Fernando Augusto Silva
Silva, Aneirson Francisco da
Miranda, Rafael de Carvalho
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The development of discrete-event simulation software was one of the most successful interfaces in operational research with computation.
As a result, research has been focused on the development of new methods and algorithms with the purpose of increasing simulation optimization efficiency and reliability.
This study aims to define optimum variation intervals for each decision variable through a proposed approach which combines the data envelopment analysis with the Fuzzy logic (Fuzzy-DEA-BCC), seeking to improve the decision-making units’ distinction in the face of uncertainty.
In this study, Taguchi’s orthogonal arrays were used to generate the necessary quantity of DMUs, and the output variables were generated by the simulation.
Two study objects were utilized as examples of mono- and multiobjective problems.
Results confirmed the reliability and applicability of the proposed method, as it enabled a significant reduction in search space and computational demand when compared to conventional simulation optimization techniques.
American Psychological Association (APA)
Miranda, Rafael de Carvalho& Montevechi, José Arnaldo Barra& Silva, Aneirson Francisco da& Marins, Fernando Augusto Silva. 2014. A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-472531
Modern Language Association (MLA)
Miranda, Rafael de Carvalho…[et al.]. A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-472531
American Medical Association (AMA)
Miranda, Rafael de Carvalho& Montevechi, José Arnaldo Barra& Silva, Aneirson Francisco da& Marins, Fernando Augusto Silva. A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-472531
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472531