A Stone Resource Assignment Model under the Fuzzy Environment
Joint Authors
Guo, Feng
Xu, Jiuping
Yao, Liming
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-18
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
This paper proposes a bilevel multiobjective optimization model with fuzzy coefficientsto tackle a stone resource assignment problem with the aim of decreasing dust and waste water emissions.
On the upper level, the local government wants to assign a reasonable exploitation amount to each stone plant so as to minimize total emissions and maximize employment and economic profit.
On the lower level, stone plants must reasonably assign stone resources to produce different stone products under the exploitation constraint.
To deal with inherent uncertainties, the object functions and constraints are defuzzified using a possibility measure.
A fuzzy simulation-based improved simulated annealing algorithm (FS-ISA) is designed to search for the Pareto optimal solutions.
Finally, a case study is presented to demonstrate the practicality and efficiency of the model.
Results and a comparison analysis are presented to highlight the performance of the optimization method, which proves to be very efficient compared with other algorithms.
American Psychological Association (APA)
Yao, Liming& Xu, Jiuping& Guo, Feng. 2012. A Stone Resource Assignment Model under the Fuzzy Environment. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-26.
https://search.emarefa.net/detail/BIM-1029517
Modern Language Association (MLA)
Yao, Liming…[et al.]. A Stone Resource Assignment Model under the Fuzzy Environment. Mathematical Problems in Engineering No. 2012 (2012), pp.1-26.
https://search.emarefa.net/detail/BIM-1029517
American Medical Association (AMA)
Yao, Liming& Xu, Jiuping& Guo, Feng. A Stone Resource Assignment Model under the Fuzzy Environment. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-26.
https://search.emarefa.net/detail/BIM-1029517
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029517