The Problem of Tuning Metaheuristics as seen from a Machine Learning Perspective

The Problem of Tuning Metaheuristics as seen from a Machine Learning Perspective

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<p>A metaheuristic is a generic algorithmic template that, once properly instantiated, can be used for finding high quality solutions of combinatorial optimization problems. For obtaining a fully functioning algorithm, a metaheuristic needs to be configured: typically some modules need to be i...

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Bibliographic Details
Main Author: Birattari, Mauro
Other Authors: Decaestecker, Christine
Format: Others
Language:en
Published: Universite Libre de Bruxelles 2004
Subjects:
Combinatorial optimization
Racing algorithms
Tuning
Metaheuristics
Online Access:http://theses.ulb.ac.be/ETD-db/collection/available/ULBetd-11152004-150032/

Internet

http://theses.ulb.ac.be/ETD-db/collection/available/ULBetd-11152004-150032/

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