Title :
Virtual Enterprise Partners Modeling Based on Improved Genetic Algorithm (IGA)
Author :
Zhu, Lixue ; Huang, Weifeng ; Luo, Xiwen ; Liu, Jiangtao
Author_Institution :
Zhongkai Univ. of Agric. & Technol., Guangzhou
fDate :
May 30 2007-June 1 2007
Abstract :
Based on an improved genetic algorithm (IGA) with a new genetic coding mode of master-slave chromosome, a virtual enterprise partners selecting modeling method is presented in this paper with a demonstration of a specific application case analysis.
Keywords :
genetic algorithms; virtual enterprises; genetic coding mode; improved genetic algorithm; master-slave chromosome; virtual enterprise; Agricultural engineering; Algorithm design and analysis; Automatic control; Automation; Biological cells; Educational institutions; Genetic algorithms; Genetic engineering; Master-slave; Virtual enterprises; improved genetic algorithm (IGA); virtual enterprise modeling;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376515