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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | 2005 |
| ISBN13 | 9781586035518 |
| Publishers | IOS Press |
| Pages | 294 |
| Dimensions | 150 × 220 × 10 mm · 651 g (Weight (estimated)) |
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