scholarly journals From SAT to Maximum Independent Set: A New Approach to Characterize Tractable Classes

10.29007/c9f6 ◽  
2018 ◽  
Author(s):  
Yazid Boumarafi ◽  
Lakhdar Sais ◽  
Yakoub Salhi

In this paper, we propose a new approach for defining tractable classes in propositional satisfiability problem (in short SAT). The basic idea consists in transforming SAT instances into instances of the problem of finding a maximum independent set. In this context, we only consider propositional formulæ in conjunctive normal form where each clause is either positive or binary negative. Tractable classes are obtained from existing polynomial time algorithms of the problem of finding a maximum independent set in the case of different graph classes, such as claw-free graphs and perfect graphs. We show, in particular, that the pigeonhole principle belongs to one of the defined tractable classes. Furthermore, we propose a characterization of the minimal models in the largest considered fragment based on the maximum independent set problem.

Author(s):  
Bouhouch Adil ◽  
Loqman Chakir ◽  
El Qadi Abderrahime

<p>We describe a new approach to solve the problem to find the maximum independent set in a given Graph, known also as Max-Stable set problem (MSSP). In this paper, we show how Max-Stable problem can be reformulated into a linear problem under quadratic constraints, and then we resolve the QP result by a hybrid approach based Continuous Hopfeild Neural Network (CHN) and Local Search. In a manner that the solution given by the CHN will be the starting point of the local search. The new approach showed a good performance than the original one which executes a suite of CHN runs, at each execution a new leaner constraint is added into the resolved model. To prove the efficiency of our approach, we present some computational experiments of solving random generated problem and typical MSSP instances of real life problem.</p>


2014 ◽  
Vol 687-691 ◽  
pp. 1161-1165
Author(s):  
Dong Ling Luo ◽  
Chen Yin Wang ◽  
Yang Yi ◽  
Dong Ling Zhang ◽  
Xiao Cong Zhou

Edge covering problem, dominating set problem, and independent set problem are classic problems in graph theory except for vertex covering problem. In this paper, we study the maximum independent set problem under fuzzy uncertainty environments, which aims to search for the independent set with maximum value in a graph. First, credibility theory is introduced to describe the fuzzy variable. Three decision models are performed based on the credibility theory. A hybrid intelligence algorithm which integrates genetic algorithm and fuzzy simulation is proposed due to the unavailability of traditional algorithm. Finally, numerical experiments are performed to prove the efficiency of the fuzzy decision modes and the hybrid intelligence algorithm.


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