Self-adaptation by co-evolution

Abstract: "Traditional genetic algorithms use operator settings such as the crossover rate or number of crossover points that are fixed throughout a given run. The choice of settings can have a major effect on performance, but finding good settings can be hard. One option is to encode the opera...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Tuson, Andrew (VerfasserIn), Ross, Peter (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Edinburgh 1996
Schriftenreihe:	University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 788
Schlagworte:	Applied statistics, operational research Bionics and artificial intelligence Evolutionary computation Genetic algorithms Operator theory
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