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
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;
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
DOI :
10.1109/ANNES.1995.499467
