Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization

Cellular evolutionary algorithms usually use a single neighborhood structure for local selection. When a new solution is to be generated by crossover and/or mutation for a cell, a pair of parent solutions is selected from its neighbors. The current solution at the cell is replaced with the newly gen...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ishibuchi, H., Sakane, Y., Tsukamoto, N., Nojima, Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Euclidean distance Evolutionary computation Genetic mutations Intelligent systems Testing
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!