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» : The Design and Analysis of an Algorithm Portfolio for SAT
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CP
2007
Springer
13 years 10 months ago
: The Design and Analysis of an Algorithm Portfolio for SAT
It has been widely observed that there is no “dominant” SAT solver; instead, different solvers perform best on different instances. Rather than following the traditional appr...
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton...
AAAI
2010
13 years 5 months ago
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
The AI community has achieved great success in designing high-performance algorithms for hard combinatorial problems, given both considerable domain knowledge and considerable eff...
Lin Xu, Holger Hoos, Kevin Leyton-Brown
CP
2000
Springer
13 years 8 months ago
Using Randomization and Learning to Solve Hard Real-World Instances of Satisfiability
This paper addresses the interaction between randomization, with restart strategies, and learning, an often crucial technique for proving unsatisfiability. We use instances of SAT ...
Luís Baptista, João P. Marques Silva
DAC
2004
ACM
14 years 5 months ago
Refining the SAT decision ordering for bounded model checking
Bounded Model Checking (BMC) relies on solving a sequence of highly correlated Boolean satisfiability (SAT) problems, each of which corresponds to the existence of counter-example...
Chao Wang, HoonSang Jin, Gary D. Hachtel, Fabio So...
DAC
2001
ACM
14 years 5 months ago
Dynamic Detection and Removal of Inactive Clauses in SAT with Application in Image Computation
In this paper, we present a new technique for the e cient dynamic detection and removal of inactive clauses, i.e. clauses that do not a ect the solutions of interest of a Boolean ...
Aarti Gupta, Anubhav Gupta, Zijiang Yang, Pranav A...