A class of algorithms for distributed constraint optimization:
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Petcu, Adrian (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Amsterdam IOS Press ©2009
Schriftenreihe:Frontiers in artificial intelligence and applications v. 194
Frontiers in artificial intelligence and applications
Schlagworte:
Online-Zugang:FAW01
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Volltext
Beschreibung:Includes bibliographical references
Preliminaries and background -- Distributed constraint optimization problems -- Background -- The DPOP algorithm -- DPOP : a dynamic programming optimization protocol for DCOP -- H-DPOP : compacting UTIL messages with consistency techniques -- Tradeoffs -- Tradeoffs between memory/message size and number of messages -- Tradeoffs between memory/message size and solution quality -- PC-DPOP : tradeoffs between memory/message size and centralization -- Dynamics -- Dynamic problem solving with self stabilizing algorithms -- Solution stability in dynamically evolving optimization problems -- Self-interest -- Distributed VCG mechanisms for systems with self-interested users -- Budget balance
Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming
Beschreibung:1 Online-Ressource (xxiii, 274 pages)
ISBN:1441616632
1607504189
9781441616630
9781607504184

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