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.
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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.
IOS Press
978-1-58603-989-9
Class of algorithms for distributed constraint optimization.