Extending population-based incremental learning to continuous search spaces View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

1998

AUTHORS

Michèle Sebag , Antoine Ducoulombier

ABSTRACT

This paper extends PBIL from boolean to continuous search spaces. A Gaussian model is used for the distribution of the population. The center of this model is constructed as in boolean PBIL. Several ways of defining and adjusting the variance of the model are investigated. The approach is validated on several large-sized problems. More... »

PAGES

418-427

Book

TITLE

Parallel Problem Solving from Nature — PPSN V

ISBN

978-3-540-65078-2
978-3-540-49672-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bfb0056884

DOI

http://dx.doi.org/10.1007/bfb0056884

DIMENSIONS

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