DocumentCode
479026
Title
"Pattern Inter-Domain Mapping Variation" Methodology and Application
Author
Tong Li ; Zhong-Tuo Wang ; Lei Gao
Author_Institution
Syst. Eng. Inst., Dalian Univ. of Technol., Dalian
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
6
Abstract
Taking the original intelligence optimization algorithm "plant growth simulation algorithm" (PGSA) " as a direct application, we propose the "pattern inter-domain mapping variation" methodology to knowledge innovation. We compare PGSA with genetic algorithm (GA) on distribution center location problem, and the result proves PGSA is superior to GA on accuracy. Analysis on theory PGSA and its application innovation represents that this methodology can be a guide and reference to knowledge innovation in some degree.
Keywords
genetic algorithms; knowledge management; distribution center location problem; genetic algorithm; intelligence optimization; knowledge innovation; pattern inter-domain mapping variation; plant growth simulation algorithm; Arm; Earth; Educational institutions; Engineering management; Fingers; Humans; Prototypes; Systems engineering and theory; Technological innovation; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2606
Filename
4680795
Link To Document