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
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;
Conference_Titel :
Combinations of Evolutionary Computation and Neural Networks, 2000 IEEE Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-6572-0
DOI :
10.1109/ECNN.2000.886236
