DocumentCode
2663237
Title
The Multi-Tiered Tournament Selection for evolutionary neural network synthesis
Author
Wicker, Devert ; Rizki, Mateen M. ; Tamburino, Louis A.
Author_Institution
Air Force Res. Lab., Wright-Patterson AFB, OH, USA
fYear
2000
fDate
2000
Firstpage
207
Lastpage
215
Abstract
The paper introduces Multi-Tiered Tournament Selection. Traditional tournament selection algorithms are appropriate for single objective optimization problems but are too limited for the multi-objective task of evolving complete recognition systems. Recognition systems need to be accurate as well as small to improve generalization performance. Multi-tiered Tournament Selection is shown to improve search for smaller neural network recognition systems
Keywords
evolutionary computation; neural nets; pattern recognition; search problems; Multi-Tiered Tournament Selection; complete recognition systems; evolutionary neural network synthesis; generalization performance; multi-objective task; small neural network recognition systems; tournament selection algorithms; Computer science; Computer vision; Detectors; Genetic algorithms; Genetic programming; Laboratories; Network synthesis; Neural networks; Pattern recognition; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Combinations of Evolutionary Computation and Neural Networks, 2000 IEEE Symposium on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-6572-0
Type
conf
DOI
10.1109/ECNN.2000.886236
Filename
886236
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