DocumentCode
2842010
Title
A model of the emporium selecting the superior from multi-vendor based on genetic algorithms
Author
Bao-zheng, Liu ; Ding-wei, Wang
Author_Institution
Sch. of Math. & Syst. Sci., Liaocheng Univ., Liaocheng, China
fYear
2010
fDate
26-28 May 2010
Firstpage
3812
Lastpage
3814
Abstract
The stock optimization problem of the key enterprise of commodity vendition type is researched in this paper. Aim at the logistics key enterprise having many provider, the commodity stock optimization evaluating system of multiple objectives is upbuilt, and the fuzzy optimization model is founded. The Genetic Algorithm is fetched in to solve model. By cutting-set guide line, we get the satisfaction solution. Through example the model application is more explained. The method foundation is offered for the enterprise of commodity vendition type.
Keywords
fuzzy set theory; genetic algorithms; stock markets; commodity stock optimization evaluating system; commodity vendition type; emporium selection; fuzzy optimization model; genetic algorithm; logistics key enterprise; multicommodity selection; stock optimization problem; Fuzzy systems; Genetic algorithms; Information science; Logistics; Mathematical model; Mathematics; Genetic Algorithm; Multi-commodity Selection Optimum; Multi-objective Optimization; Satisfactory Solution;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498483
Filename
5498483
Link To Document