Name
Title | ||
|---|---|---|
A new approach using fuzzy DEA models to reduce search space and eliminate replications in simulation optimization problems. |
Abstract | ||
|---|---|---|
•A method was developed to reduce the search space in simulation optimization.•The method combines orthogonal Arrays, data envelopment analysis and optimization.•The method reduces the search space in various case studies by roughly 97%.•The method defines the best range of variation for each decision variable.•The method is applied to simulation optimization with a single objective. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2019.113137 | Expert Systems with Applications |
Keywords | Field | DocType |
Simulation optimization,Discrete event simulation,Fuzzy-Data Envelopment Analysis | Orthogonal array,Data mining,Mathematical optimization,Matrix (mathematics),Computer science,Fuzzy logic,Membership function,Optimization problem,Discrete event simulation | Journal |
Volume | ISSN | Citations |
144 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Marins | 1 | 14 | 3.56 |
| Aneirson Francisco da Silva | 2 | 2 | 1.71 |
| Rafael de Carvalho Miranda | 3 | 8 | 2.89 |
| José Arnaldo Barra Montevechi | 4 | 62 | 10.30 |