DocumentCode
2211399
Title
Application Progress of Genetic Algorithm for Economic Lot Sizing Problem
Author
Zhong, Jinhong ; Huang, Ling
Author_Institution
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
2858
Lastpage
2861
Abstract
Application progress of genetic algorithm is reviewed systemically from three aspects of algorithm parameters setting, local search capabilities and constraint handling techniques which have to be solved in the application. Then application status of genetic algorithm for economic lot sizing problem is surveyed. Finally, the future work is presented.
Keywords
genetic algorithms; lot sizing; production planning; application progress; constraint handling techniques; economic lot sizing problem; genetic algorithm; local search capabilities; Biological cells; Convergence; Feedback; Fuzzy logic; Fuzzy sets; Genetic algorithms; Genetic mutations; Lot sizing; Procurement; Production planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.338
Filename
5454674
Link To Document