A Local Stability Supported Parallel Distributed Constraint Optimization Algorithm
Joint Authors
Zhang, Bin
Peibo, Duan
Zhang, Changsheng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a new distributed constraint optimization algorithm called LSPA, which can be used to solve large scale distributed constraint optimization problem (DCOP).
Different from the access of local information in the existing algorithms, a new criterion called local stability is defined and used to evaluate which is the next agent whose value needs to be changed.
The propose of local stability opens a new research direction of refining initial solution by finding key agents which can seriously effect global solution once they modify assignments.
In addition, the construction of initial solution could be received more quickly without repeated assignment and conflict.
In order to execute parallel search, LSPA finds final solution by constantly computing local stability of compatible agents.
Experimental evaluation shows that LSPA outperforms some of the state-of-the-art incomplete distributed constraint optimization algorithms, guaranteeing better solutions received within ideal time.
American Psychological Association (APA)
Peibo, Duan& Zhang, Changsheng& Zhang, Bin. 2014. A Local Stability Supported Parallel Distributed Constraint Optimization Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050826
Modern Language Association (MLA)
Peibo, Duan…[et al.]. A Local Stability Supported Parallel Distributed Constraint Optimization Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050826
American Medical Association (AMA)
Peibo, Duan& Zhang, Changsheng& Zhang, Bin. A Local Stability Supported Parallel Distributed Constraint Optimization Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050826