DocumentCode :
507794
Title :
Creative Design Framework Based on Immune Computing
Author :
Liu Yong ; Dong Fangmin ; Zhang Rui ; Xiao Renbin
Author_Institution :
Inst. of Intell. Vision & Image Inf., China Three Gorges Univ., Yichang, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
32
Lastpage :
36
Abstract :
As the source of enhancing product competitions, creative design has various implementation manners, among which innovative computation is an important way. Immune computing, a new kind of intelligent computation approach drawing inspiration from the vertebrate immune system, has strong capabilities of computation. In this paper, some excellent characteristics of immune computing, such as distribution and parallelity, self-organization and self-adaptation, global optimization, robustness, and emergence, are analyzed in detailed to demonstrate that immune computing is a novel research approach for creative design firstly. Next, a scheme of creative design based on immune computing is proposed and corresponding research framework consisting of three levels, i.e. immune computing, creative design and immune creative design, is established. Finally, some key techniques of implementing creative design based on immune computing are briefly discussed.
Keywords :
evolutionary computation; neural nets; creative design framework; global optimization; immune computing; immune creative design; implementing creative design; innovative computation; intelligent computation approach; robustness; self adaptation; self organization; source enhancing product; strong capabilities computation; vertebrate immune system; Biology computing; Computational biology; Computer aided manufacturing; Computer vision; Concurrent computing; Distributed computing; Evolution (biology); Immune system; Laboratories; Product design; creative design; framework; immune computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.260
Filename :
5363115
Link To Document :
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