A hybrid approach to distributed constraint satisfaction.
Lee, David; Arana, Inés; Ahriz, Hatem; Hui, Kit-Ying
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we propose the hybrid algorithm PenDHyb where the distributed local search algorithm DisPeL is run for a very small amount of time in order to learn about the difficult areas of the problem from the penalty counts imposed during its problem-solving. This knowledge is then used to guide the systematic search algorithm SynCBJ. Extensive empirical results in several problem classes indicate that PenDHyb is effective for large problems.
|Start Date||Sep 4, 2008|
|Publication Date||Dec 31, 2008|
|Publisher||Springer (part of Springer Nature)|
|Series Title||Lecture notes in computer science|
|Institution Citation||LEE, D., ARANA, I., AHRIZ, H. and HUI, K.-Y. 2008. A hybrid approach to distributed constraint satisfaction. In Dochev, D., Pistore, M. and Traverso, P. (eds.) Proceedings of the 13th International conference on artificial intelligence: methodology, systems and applications (AIMSA 2008), 4-6 September 2008, Varna, Bulgaria. Lecture notes in computer science, 5253. Berlin: Springer [online], pages 375-379. Available from: https://doi.org/10.1007/978-3-540-85776-1_33|
|Keywords||Constraint satisfaction; Distributed AI; Hybrid systems|
LEE 2008 A hybrid approach
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