Title :
Inventory control model and solution of industrial enterprise based on genetic algorithm
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
Abstract :
This paper set up the model of based on genetic algorithm method for the inventory control problem of industrial enterprise. Simulation results is included to show that the optimal policy given by the genetic algorithm can well approximate to the accurate one. And the proposed method can not only improve the reliability for the whole optimum but reduce the iteration number and recreate the computation.
Keywords :
genetic algorithms; stock control; genetic algorithm; industrial enterprise; inventory control; optimal policy; genetic algorithm; inventory control; optimal policy;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4682800
