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
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5578998
