DocumentCode :
2331475
Title :
On Dynamic Evolution of Industry Agglomeration Based on Swarm Intelligence
Author :
Guan Jun
Author_Institution :
Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing
fYear :
2008
fDate :
20-20 Nov. 2008
Firstpage :
24
Lastpage :
28
Abstract :
Defects of linear and circular models on industry agglomeration have been illustrated in this paper, with the conclusion that the defects lie in the improper prerequisite of the models, which will lead to false identification of the fundamental impetus of the phenomenon. A dynamic evolution model on industry agglomeration based on swarm intelligence is set up, followed with relevant computer simulation, leading to the finding that the accumulation and diffusion of knowledge is the prime motivation of industry agglomeration.
Keywords :
artificial intelligence; digital simulation; industrial engineering; manufacturing industries; organisational aspects; circular model; computer simulation; dynamic evolution model; fundamental impetus; industry agglomeration; linear model; manufacturing organisation; swarm intelligence; Aerospace industry; Cities and towns; Computer industry; Costs; Engineering management; Geography; Industrial economics; Manufacturing industries; Particle swarm optimization; Technology management; computerized simulation; evolution model; industry agglomeration; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
Conference_Location :
Leicestershire, United Kingdom
Print_ISBN :
978-0-7695-3480-0
Type :
conf
DOI :
10.1109/FITME.2008.116
Filename :
4746433
Link To Document :
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