Reactive Search and Intelligent Optimization

Reactive Search and Intelligent Optimization by Roberto Battiti, Mauro Brunato, Franco Mascia.

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
Main Authors: Battiti, Roberto (Author), Brunato, Mauro (Author), Mascia, Franco (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Operations Research/Computer Science Interfaces Series, 45
Springer eBook Collection.
Subjects:
Operations research.
Management science.
Decision making.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Industrial engineering.
Production engineering.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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