Selection of AS/RS Scheduling Rules Based on Genetic Algorithm

Author

Wang, Wen ; Fu, Weiping ; Ma, Mingyun ; Li, Dexin ; Yang, Shiqiang

Author_Institution

X´´i an Univ. of Technol., Xi´´an

fYear

2007

fDate

18-21 Aug. 2007

Firstpage

536

Lastpage

540

Abstract

In order to obtain the better scheduling rules in specific environment, a solving method based on genetic algorithm (GA) is proposed. In this method, each chromosome of GA represents a set of rules which can be used to describe concrete scheduling projects and each is coded by piece wise integer coding. In order to get the adaptive function value of every chromosome, a decision optimization method integrating analytic hierarchy process (AHP) is used. The simulation results indicate that this method can be well used to optimize scheduling rules in loading and unloading scheduling problems of automated storage & retrieval system (namely AS/RS).

Keywords

genetic algorithms; information retrieval; adaptive function value; analytic hierarchy process; automated storage-retrieval system; concrete scheduling projects; genetic algorithm; piecewise integer coding; Automation; Biological cells; Buffer storage; Genetic algorithms; Job shop scheduling; Logistics; Machinery; Optimization methods; Processor scheduling; Single machine scheduling; AS/RS; Analytic Hierarchy Process; Genetic Algorithm; scheduling rules;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2007 IEEE International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-4244-1531-1

Type

conf

DOI

10.1109/ICAL.2007.4338623

Filename

4338623