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...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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| Σειρά: | Studies in Fuzziness and Soft Computing,
170 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
