Empirical Studies of Neighborhood Shapes in the Massively Parallel Diffusion Model

In this paper we empirically determine the settings of the most important parameters for the parallel diffusion model. These parameters are the selection algorithm, the neighbourhood shape and the neighbourhood size.

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Bibliographische Detailangaben
1. Verfasser:	Eklund, Sven E.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Genetic Algorithm Island Model Local Elitism Neighborhood Size Selection Algorithm
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	In this paper we empirically determine the settings of the most important parameters for the parallel diffusion model. These parameters are the selection algorithm, the neighbourhood shape and the neighbourhood size.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/3-540-36127-8_18