An edition of Scalable optimization via probabilistic modeling
(2006)
Scalable Optimization via Probabilistic Modeling
From Algorithms to Applications (Studies in Computational Intelligence)
1 edition
by Martin Pelikan and Kumara Sastry
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Previews available in: English
Subjects
Genetic algorithms, Apprentissage automatique, Data processing, Distribution (Théorie des probabilités), Combinatorial optimization, Distribution (Probability theory), Machine learning, Evolutionary computation, Optimisation combinatoire, Logiciels, Réseaux neuronaux à structure évolutive, Algorithmes génétiques, Engineering, Engineering mathematics, Artificial intelligence, Distribution (probability theory)| Edition | Availability |
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1
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications
Nov 25, 2010, Springer
paperback
3642071163 9783642071164
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2
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
November 14, 2006, Springer
Hardcover
in English
- 1 edition
3540349537 9783540349532
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Book Details
First Sentence
"Estimation of distribution algorithms (EDAs) [1, 5, 8, 11] address broad classes of optimization problems by learning explicit probabilistic models of promising solutions found so far and sampling the built models to generate new candidate solutions."
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| February 26, 2022 | Edited by ImportBot | import existing book |
| July 7, 2019 | Edited by MARC Bot | import existing book |
| July 7, 2019 | Edited by MARC Bot | import existing book |
| July 29, 2014 | Created by ImportBot | import new book |