DocumentCode
401670
Title
A modular neural network based on genetic algorithm for FMS reliability optimization
Author
He, Zu-yu ; Yu-Qi Han ; Wang, Wa-wei ; Wang, Wa-wen
Author_Institution
Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., China
Volume
3
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1413
Abstract
Reliability optimization for FMS (flexible manufacturing system) is very important. Traditional optimal algorithms applying to FMS reliability have many shortcomings. In this article, the authors take into account the characteristics of FMS and bring forward modular neural networks (NN) model based on genetic algorithm (GA) to optimize FMS reliability. Modular NN based on GA has good convergence and short learning time. The example shows that the new algorithm is feasible and effective.
Keywords
flexible manufacturing systems; genetic algorithms; neural nets; reliability; flexible manufacturing system; genetic algorithm; modular neural networks; reliability optimization; Computer aided manufacturing; Computer network reliability; Convergence; Design optimization; Dynamic programming; Flexible manufacturing systems; Genetic algorithms; Neural networks; Production; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259714
Filename
1259714
Link To Document