DocumentCode
1661052
Title
Application of multiple genetic algorithm processor in complex systems
Author
Salami, Mehrdad ; Cain, Greg
Author_Institution
Dept. of Electr. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
fYear
1995
Firstpage
178
Lastpage
181
Abstract
We describe the application of a hardware genetic algorithm processor to handle the adaptive IIR filter problem. We have analysed a variety of configurations including varying the string word length and the introduction of multiple processor configurations. Results show that multiple genetic algorithm processor configurations work better than other configurations with lesser complexity. It is possible to apply multiple configurations to more complex problems
Keywords
IIR filters; adaptive filters; genetic algorithms; multiprocessing systems; search problems; adaptive IIR filter; complex systems; hardware genetic algorithm processor; multiple genetic algorithm processor; multiple processor configurations; multiprocessors; string word length; Algorithm design and analysis; Artificial intelligence; Equations; Genetic algorithms; Genetic mutations; Hardware; IIR filters; NP-hard problem; Performance evaluation; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-7174-2
Type
conf
DOI
10.1109/ANNES.1995.499467
Filename
499467
Link To Document