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
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;
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
DOI :
10.1109/CCDC.2010.5498483