DocumentCode :
3400931
Title :
On the relative efficacies of space saving *CGAs for evolvable hardware applications
Author :
Vigraham, Smyan A. ; Gallagher, John C.
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Volume :
2
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
2187
Abstract :
This work compares the relative efficacies of two simulated population space-saving compact genetic algorithm (CGA) variants against a realistic EH control problem. Comparisons are made between the variants and between them and no population and true population versions of the algorithm. A clearly superior algorithm for this application is designated and implications for other EH efforts are considered.
Keywords :
genetic algorithms; machine control; reconfigurable architectures; compact genetic algorithm; realistic EH control problem; relative efficacies; simulated population space-saving CGA; space saving *CGA; Algorithm design and analysis; Application software; Combustion; Computer science; Evolutionary computation; Fires; Genetic algorithms; Hardware; Microphones; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1331168
Filename :
1331168
Link To Document :
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