Michael Schwind

Dynamic Pricing and Automated Resource Allocation for Complex Information Services (eBook, PDF)

Reinforcement Learning and Combinatorial Auctions

• Format: PDF

Produktbeschreibung

This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, or grid systems.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 295
• Erscheinungstermin: 24. April 2007
• Englisch
• ISBN-13: 9783540680031
• Artikelnr.: 37366356

Autorenporträt

Michael Schwind, University of Frankfurt, Germany

Inhaltsangabe

Dynamic Pricing and Automated Resource Allocation.- Empirical Assessment of Dynamic Pricing Preference.- Reinforcement Learning for Dynamic Pricing and Automated Resource Allocation.- Combinatorial Auctions for Resource Allocation.- Dynamic Pricing and Automated Resource Allocation Using Combinatorial Auctions.- Comparison of Reinforcement Learning and Combinatorial Auctions.