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The Problem of Tuning Metaheuristics: As Seen from a Machine Learning Perspective - Dissertations in Artificial Intelligence: Infix Mauro Birattari
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The Problem of Tuning Metaheuristics: As Seen from a Machine Learning Perspective - Dissertations in Artificial Intelligence: Infix
Mauro Birattari
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 described and solved as a machine learning problem. This thesis contains an experimental analysis of F-Race and some examples of practical applications.
294 pages, Illustrations
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2005 |
| ISBN13 | 9781586035518 |
| Izdevēji | IOS Press |
| Lapas | 294 |
| Izmēri | 150 × 220 × 10 mm · 651 g (Svars (aptuveni)) |
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![Cover for Mauro Birattari · Tuning Metaheuristics: a Machine Learning Perspective - Studies in Computational Intelligence (Paperback Book) [Softcover Reprint of Hardcover 1st Ed. 2009 edition] (2010)](https://imusic.b-cdn.net/images/item/original/496/9783642101496.jpg?mauro-birattari-2010-tuning-metaheuristics-a-machine-learning-perspective-studies-in-computational-intelligence-paperback-book&class=scaled&v=1408474343)
