Title
Finding Lean Induced Cycles in Binary Hypercubes
Abstract
Induced (chord-free) cycles in binary hypercubes have many applications in computer science. The state of the art for computing such cycles relies on genetic algorithms, which are, however, unable to perform a complete search. In this paper, we propose an approach to finding a special class of induced cycles we call lean , based on an efficient propositional SAT encoding. Lean induced cycles dominate a minimum number of hypercube nodes. Such cycles have been identified in Systems Biology as candidates for stable trajectories of gene regulatory networks. The encoding enabled us to compute lean induced cycles for hypercubes up to dimension 7. We also classify the induced cycles by the number of nodes they fail to dominate, using a custom-built All-SAT solver. We demonstrate how clause filtering can reduce the number of blocking clauses by two orders of magnitude.
Year
DOI
Venue
2009
10.1007/978-3-642-02777-2_4
SAT
Keywords
Field
DocType
complete search,sat encoding,lean induced cycle,custom-built all-sat solver,finding lean induced cycles,binary hypercubes,efficient propositional,systems biology,minimum number,computer science,induced cycle,gene regulatory network,system biology,genetic algorithm,sat solver
Discrete mathematics,Combinatorics,Computer science,Algorithm,Filter (signal processing),Solver,Gene regulatory network,Genetic algorithm,Hypercube,Encoding (memory),Binary number
Conference
Volume
ISSN
Citations 
5584
0302-9743
1
PageRank 
References 
Authors
0.36
17
4
Name
Order
Citations
PageRank
Yury Chebiryak1202.19
Thomas Wahl210310.21
Daniel Kroening33084187.60
Leopold Haller41276.93