Title :
Logistics scheduling system based on simulated quenching algorithm
Author :
Hu, Yang ; Gui, Weihua
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
According to the feature of logistics service, a simulated quenching algorithm is presented in this paper. The running time can be decreased through abandoning the best result. By simulating the process of metal heat treatment, the optimal object function for scheduling model is given. Through the sharply decrease of the temperature, system can reach basic balance between the result and running time. Along with process of scheduling for logistics, the scheduling plan is changed according to real-time conditions. Though the total optimal value is hard to gain by the algorithm, Local value can be gained to meet the need of running time and service. Quality for logistics can be improved.
Keywords :
logistics; scheduling; simulated annealing; logistics Quality; logistics scheduling system; logistics service; metal heat treatment; scheduling plan; simulated quenching algorithm; Artificial intelligence; Computational modeling; Heat treatment; Information science; Logistics; Scheduling algorithm; Simulated annealing; Temperature; Transportation; Turning; Artificial Intelligence; Logistics; Scheduling Plan; Simulated Quenching Algorithm;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192461