Reactive Search and Intelligent Optimization

Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optim...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Battiti, Roberto (Author), Brunato, Mauro (Author), Mascia, Franco (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Operations Research/Computer Science Interfaces Series, 45
Subjects:
Operations research.
Management science.
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Industrial engineering.
Production engineering.
Operations Research, Management Science .
Operations Research and Decision Theory.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Industrial and Production Engineering.
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