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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...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2005.
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| Edition: | 1st ed. 2005. |
| Series: | Studies in Fuzziness and Soft Computing,
170 |
| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- 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.