DocumentCode :
351243
Title :
A heuristic approach to solution of industrial optimization problems
Author :
Absaloms, Heywood ; Iwami, Yoshio ; Tomikawa, Takehiko
Author_Institution :
Dept. of Electr. & Electron. Eng., Kanagawa Inst. of Technol., Atsugi, Japan
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
127
Abstract :
The applicability of Genetic Algorithm (GA) to solution of industrial optimisation problems is investigated through the experience in applying GA to Image Processing optimisation problems. GA proves to be an adequate optimisation tool for many systems that cannot be adequately modelled or those whose state space is too large such as may be encountered in an industrial manufacturing environment
Keywords :
feature extraction; genetic algorithms; image processing; image reconstruction; Genetic Algorithm; industrial manufacturing; industrial optimization; optimisation tool; Agricultural engineering; Biological cells; Eyes; Face detection; Feature extraction; Genetic algorithms; Image coding; Image processing; Manufacturing industries; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
Type :
conf
DOI :
10.1109/AFRCON.1999.820779
Filename :
820779
Link To Document :
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