Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning a...
Zapisane w:
| 1. autor: | |
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| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2005.
Cham : Springer Nature |
| Seria: | Studies in Fuzziness and Soft Computing
170 |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hierarchical Bayesian Optimization Algorithm, Texte imprimé, 9783642062735 • Hierarchical Bayesian Optimization Algorithm, Texte imprimé, 9783540804994 • Hierarchical Bayesian Optimization Algorithm, Texte imprimé, 9783540237747 |
Spis treści:
- From Genetic Variation to Probabilistic Modeling
- Probabilistic Model-Building Genetic Algorithms
- Bayesian Optimization Algorithm
- Scalability Analysis
- The Challenge of Hierarchical Difficulty
- Hierarchical Bayesian Optimization Algorithm
- Hierarchical BOA in the Real World.