DocumentCode
3161314
Title
Research of compound operation optimization based on Partheno Genetic Algorithm
Author
Liu, Wanjun ; Huang, Yangbo ; Ding, Peng
Author_Institution
Sch. of Software, Liaoning Tech. Univ., Huludao, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2945
Lastpage
2948
Abstract
Compound operation is one of the important operations of Automated Storage and Retrieval System (AS/RS), and optimizing compound operation is an important method to improving the operation efficiency of AS/RS. Based on the characteristics of compound operation, this paper constructs the optimized mathematical model, and designs an efficient Partheno-Genetic Algorithm to solve the scheduling problem. Simulation result shows that operation time has been reduced greatly and operation efficiency increased greatly with little execution time of the program. The optimized algorithm has good global search capability, can pay attention to both the time and effect to meet the actual request, suitable for engineering applications.
Keywords
genetic algorithms; mathematical analysis; scheduling; storage automation; Partheno genetic algorithm; automated storage and retrieval system; compound operation optimization; global search capability; optimized mathematical model; scheduling problem; Algorithm design and analysis; Biological cells; Compounds; Computational modeling; Electronics packaging; Optimization; Automated Storage and Retrieval System (AS/RS); component; compound operation; gene recombination; partheno genetic algorithm(PGA);
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5640561
Filename
5640561
Link To Document