A diversity maintaining population-based incremental learning algorithm

In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposition as a means for controlling the amount of diversity within a given sample population. We prove that under this scheme...

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Veröffentlicht in:	Information sciences Jg. 178; H. 21; S. 4038 - 4056
Hauptverfasser:	Ventresca, Mario, Tizhoosh, Hamid R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.11.2008
Schlagworte:	Diversity control Diversity maintenance Opposition-based computing Population-based incremental learning Diversity control Diversity maintenance Population-based incremental learning Opposition-based computing
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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