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The problem of tuning metaheuristics as seen from a machine learning perspective

Author: Mauro Birattari
Publisher: Berlin : Akademische Verlagsgesellschaft Aka, ©2005.
Dissertation: Thesis (Doctoral)--Université Libre de Bruxelles, 2005.
Series: Dissertationen zur künstlichen Intelligenz, 292.
Edition/Format:   Thesis/dissertation : Thesis/dissertation : EnglishView all editions and formats
Database:WorldCat
Summary:

A metaheuristic is a generic algorithmic template that can be used for finding high quality solutions of optimization problems. The authors show that the problem of tuning a metaheuristic can be  Read more...

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Genre/Form: Logiciels
Material Type: Thesis/dissertation
Document Type: Book
All Authors / Contributors: Mauro Birattari
ISBN: 1586035517 9781586035518
OCLC Number: 64385188
Description: xxiii, 292 p. : ill. ; 22 cm.
Contents: Introduction --
Background and state-of-the-art --
Statement of the tuning problem --
F-race for tuning metaheuristics --
Experiments and applications --
Some considerations on the experimental methodology --
Conclusions.
Series Title: Dissertationen zur künstlichen Intelligenz, 292.
Responsibility: Mauro Birattari.

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