Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Reactive Search and Intelligent Optimization

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780387096247
Einband:
eBook
Seiten:
196
Autor:
Roberto Battiti
Serie:
45, Springer Operations Research/Computer Science Interfaces Series
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics.
"Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics.
Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities for the automated tuning of these parameters."
Preface.- Introduction.- Reacting on the neighborhood.- Reacting on the annealing schedule.- Reactive prohibitions.- Model-based search.- Reacting on the objective function.- Reinforcement learning.- Algorithm portfolios and restart strategies.- Racing.- Metrics, landscapes, and features.- Relationships between reactive search and reinforcement learning.- Index.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

Google Plus
Powered by Inooga