Title :
Human-intervention-based dynamic optimization methods of retail goods distribution route
Author :
Zhang, Liyi ; Tu, Xiaofan
Author_Institution :
Sch. of Inf. Manage., Wuhan Univ., Wuhan, China
Abstract :
The optimization of retail goods distribution route is the typical arithmetic of modern logistics but the artificial intelligence algorithms provided by traditional methods are very difficult to meet the demands of practical application. This paper extends the discussion basic on the dynamic optimization of human-intervention-based retail goods distribution route. Several suggested solutions created by the system are selected and then modification and compromise are adopted to improve the bad effect of this algorithm in the application.
Keywords :
goods distribution; human factors; logistics; retailing; artificial intelligence algorithms; human-intervention-based dynamic optimization; logistics; retail goods distribution route; Arithmetic; Artificial intelligence; Costs; Humans; Information management; Job shop scheduling; Layout; Logistics; Optimization methods; Vehicle dynamics; GIS; Goods Distribution; Human Intervention; Vehicle Scheduling;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461255