Title :
The Picking System Optimization Based on Genetic Algorithm and Implemented by eM-Plant
Author :
Xu, Xiang-Bin ; Zhou, Xin-Jian
Author_Institution :
Key Lab. of Minist. of Educ. for Conveyance & Equip., East China JiaoTong Univ., Nanchang, China
Abstract :
Genetic algorithm is a efficient way to solve the logistics-related problem, the mathematic model is analyzed and the key technology of building simulation model in eM-Plant is researched in this paper, and also the build-in genetic algorithm of optimizing module is used to optimize picking system based on the eM-Plant simulation model, which can assure the scientific decision.
Keywords :
genetic algorithms; logistics; building simulation model; eM-Plant; genetic algorithm; mathematic model; picking system optimization; Analytical models; Computational modeling; Computer simulation; Genetic algorithms; Laboratories; Logistics; Material storage; Mathematical model; Optimization methods; Vehicles; eM-plant; genetic algorithm; optimization; picking system;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.169
