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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.338
