DocumentCode :
1904805
Title :
Extended Partial-Order Dynamic Backtracking Algorithm for Dynamically Changed Environments
Author :
Acodad, Y. ; Benelallam, I. ; Hammoujan, S. ; Bouyakhf, E.H.
Author_Institution :
Fac. of Sci., Mohammed the Fifth Univ., Agdal Rabat, Morocco
Volume :
1
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
580
Lastpage :
587
Abstract :
Unlike constructive approaches in which a partial assignment to the variables is incrementally extended, repair approaches start with an inconsistent assignment (e.g. old solution) and search through the space of possible repairs. In this paper, we propose an Extended Partial-order Dynamic Backtracking (EPDB) algorithm for dynamically changed environments. The EPDB allows dynamic CSPs to be dealt efficiently according to based-repair heuristic approaches. A past solution can be repaired using retroactive data structures: safety conditions and no goods, saved previously in Partial-order Dynamic Backtracking process. We evaluate our algorithm on synthetic and real problems, and experimental results show that the proposed algorithm outperforms the original algorithm PDB, in terms of run-time and constraints checks.
Keywords :
backtracking; EPDB algorithm; constructive approach; dynamically changed environments; extended partial-order dynamic backtracking algorithm; partial assignment; repair approach; repair heuristic approach; retroactive data structures; Data structures; Heuristic algorithms; Input variables; Maintenance engineering; Reactive power; Safety; Search problems; Dynamic Constraints Satisfaction Problems; Partial-order Dynamic Backtracking; repair heuristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
ISSN :
1082-3409
Print_ISBN :
978-1-4799-0227-9
Type :
conf
DOI :
10.1109/ICTAI.2012.83
Filename :
6495096
Link To Document :
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