A stone resource assignment model under the fuzzy environment
type: Item
instance of: scholarly article
title: A stone resource assignment model under the fuzzy environment
zbMATH Open document ID: 1264.90198
DOI: 10.1155/2012/265837
author: Liming Yao
author: Feng Guo
author: Jiuping Xu
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: We propose a bilevel multiobjective optimization model with fuzzy coefficients to 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.
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 6173139
Wikidata QID: Q58911349
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/265837
OpenAlex ID: W2104309875
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description: scientific article; zbMATH DE number 6173139