DocumentCode
3226569
Title
Modulo Based CNF Encoding of Cardinality Constraints and Its Application to MaxSAT Solvers
Author
Ogawa, Tomomi ; Yangyang Liu ; Hasegawa, Ryusuke ; Koshimura, M. ; Fujita, Hideaki
Author_Institution
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear
2013
fDate
4-6 Nov. 2013
Firstpage
9
Lastpage
17
Abstract
Totalizer (TO) by Bailleux et al. and Half Sorting Network (HS) by Asin et al. are typical CNF encoding methods of cardinality constraint. The former is based on unary adder, while the latter is based on odd-even merge. Although TO is inferior to HS in terms of the number of clauses, TO is superior to HS in terms of the number of variables. We propose a new method called Modulo Totalizer (MTO) to overcome the disadvantage of TO. As an application, we have developed a partial MaxSAT solver with MTO. Preliminary experimental results show that our MTO based MaxSAT solver is comparable to or surpass the conventional TO based maxsat solvers.
Keywords
computability; constraint handling; MTO; cardinality constraints; modulo based CNF encoding method; modulo totalizer; odd-even merge; partial MaxSAT solver; unary adder; Adders; Delays; Educational institutions; Electrical engineering; Encoding; Merging; Sorting; CNF Encoding; Cardinality Constraints; K-Cardinality; MaxSAT; Modulo Calculation;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location
Herndon, VA
ISSN
1082-3409
Print_ISBN
978-1-4799-2971-9
Type
conf
DOI
10.1109/ICTAI.2013.13
Filename
6735224
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