DocumentCode
2215060
Title
A survey of scheduling optimization algorithms studies on automated storage and retrieval systems (AS/RSs)
Author
Zheng Qing ; Li Fang
Author_Institution
Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Volume
1
fYear
2010
fDate
20-22 Aug. 2010
Abstract
It has become an important objective as well as a key technology for improving the effectiveness of modern logistics systems that how to dispatch the various sub-systems in AS/RSs to achieve optimal performances. This paper gave a main focus on the analysis and comparison for a variety of algorithms, of which, the Genetic Algorithm (GA), the Ant Colony Algorithm (ACA) and the Petri Net (PN) were emphatically analyzed. Moreover, some opinions were brought forward for further studies on the scheduling optimization for AS/RSs.
Keywords
Petri nets; genetic algorithms; logistics; scheduling; storage automation; Petri net; ant colony algorithm; automated storage and retrieval system; genetic algorithm; modern logistics systems; scheduling optimization; Algorithm design and analysis; Educational institutions; Scheduling; AS/RSs; Algorithms; Prospect;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5578998
Filename
5578998
Link To Document