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Speeding Up Distributed Constraint Optimization Search Algorithms

Language EnglishEnglish
Book Paperback
Book Speeding Up Distributed Constraint Optimization Search Algorithms William Yeoh
Libristo code: 07161122
Publishers Scholars' Press, January 2014
Distributed constraint optimization (DCOP) is a model where several agents coordinate with each othe... Full description
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Distributed constraint optimization (DCOP) is a model where several agents coordinate with each other to take on values so as to minimize the sum of the resulting constraint costs, which are dependent on the values of the agents. This model is becoming popular for formulating and solving multi-agent coordination problems. As a result, researchers have developed a class of DCOP algorithms that use search techniques. Since solving DCOP problems optimally is NP-hard, solving large problems efficiently becomes an issue. In this book, I show how one can speed up DCOP search algorithms by applying insights gained from centralized search algorithms, specifically by using an appropriate search strategy; by sacrificing solution optimality; by using more memory; and by reusing information gained from solving similar DCOP problems.

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About the book

Full name Speeding Up Distributed Constraint Optimization Search Algorithms
Author William Yeoh
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 196
EAN 9783639707212
ISBN 3639707214
Libristo code 07161122
Publishers Scholars' Press
Weight 295
Dimensions 152 x 229 x 11
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