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  1. Solving the SAT problem with the string multiset rewriting calculus

    In this paper, we develop computing machinery within the framework of the String Multiset Rewriting calculus (SMSR), as defined by Barbuti et al. [ 4 ],...

    Péter Battyányi in Computing
    Article Open access 06 February 2024
  2. Solving the SAT problem using spiking neural P systems with coloured spikes and division rules

    Spiking neural P systems (SNPS) are variants of the third-generation neural networks. In the last few decades, different variants of SNPS models have...

    Prithwineel Paul, Petr Sosík in Journal of Membrane Computing
    Article Open access 23 May 2024
  3. On the upper bounds of (1,0)-super solutions for the regular balanced random (k,2s)-SAT problem

    This paper explores the conditions which make a regular balanced random ( k ,2 s )-CNF formula (1,0)-unsatisfiable with high probability. The conditions...

    Yong** Wang, Daoyun Xu, **cheng Zhou in Frontiers of Computer Science
    Article 18 December 2023
  4. Tackling the Polarity Initialization Problem in SAT Solving Using a Genetic Algorithm

    The Boolean satisfiability problem holds a significant place in computer science, finding applications across various domains. This problem consists...
    Sabrine Saouli, Souheib Baarir, Claude Dutheillet in NASA Formal Methods
    Conference paper 2024
  5. Maximizing a deep submodular function optimization with a weighted MAX-SAT problem for trajectory clustering and motion segmentation

    Computer vision models are commonly defined for maximum constrained submodular functions lies at the core of low-level and high-level models. In such...

    Kiran Kumar Chandriah, Raghavendra V Naraganahalli in Applied Intelligence
    Article 28 March 2021
  6. Exploring the Limits of Problem-Specific Adaptations of SAT Solvers in SAT-Based Cryptanalysis

    SAT-based cryptanalysis implies using algorithms for solving the Boolean Satisfiability (SAT) problem to perform cryptographic attacks. It is a...
    Conference paper 2021
  7. Properties of the satisfiability threshold of the strictly d-regular random (3,2s)-SAT problem

    A k -CNF (conjunctive normal form) formula is a regular ( k, s )-CNF one if every variable occurs s times in the formula, where k ⩾ 2 and s > 0 are...

    Yong** Wang, Daoyun Xu in Frontiers of Computer Science
    Article 11 July 2020
  8. Effective Problem Solving Using SAT Solvers

    In this article we demonstrate how to solve a variety of problems and puzzles using the built-in SAT solver of the computer algebra system Maple....
    Curtis Bright, Jürgen Gerhard, ... Vijay Ganesh in Maple in Mathematics Education and Research
    Conference paper 2020
  9. Machine Learning Methods in Solving the Boolean Satisfiability Problem

    Wenxuan Guo, Hui-Ling Zhen, ... Junchi Yan in Machine Intelligence Research
    Article 01 June 2023
  10. A Semi-Tensor Product Based All Solutions Boolean Satisfiability Solver

    Boolean satisfiability (SAT) is widely used as a solver engine in electronic design automation (EDA). Typically, SAT is used to determine whether one...

    Hong-Yang Pan, Zhu-Fei Chu in Journal of Computer Science and Technology
    Article 30 May 2023
  11. Towards better heuristics for solving bounded model checking problems

    This paper presents a new way to improve the performance of the SAT-based bounded model checking problem on sequential and parallel procedures by...

    Anissa Kheireddine, Etienne Renault, Souheib Baarir in Constraints
    Article 27 December 2022
  12. Variational satisfiability solving: efficiently solving lots of related SAT problems

    Incremental satisfiability (SAT) solving is an extension of classic SAT solving that enables solving a set of related SAT problems by identifying and...

    Jeffrey M. Young, Paul Maximilian Bittner, ... Thomas Thüm in Empirical Software Engineering
    Article Open access 28 November 2022
  13. Function Synthesis for Maximizing Model Counting

    Given a boolean formula \(\phi (X, Y, Z)\) , the...
    Thomas Vigouroux, Marius Bozga, ... Laurent Mounier in Verification, Model Checking, and Abstract Interpretation
    Conference paper 2024
  14. Scheduling through logic-based tools

    A scheduling problem can be defined in a nutshell as the problem of determining when and how the activities of a project have to be run, according to...

    Jordi Coll Caballero in Constraints
    Article 18 September 2023
  15. Solving SAT with P systems with anti-membranes

    P systems with anti-membranes represent a variant of P systems with anti-matter in which the concept of annihilation between a matter object and its...

    Article 24 April 2023
  16. Logic-based cognitive planning for conversational agents

    This paper presents a novel approach to cognitive planning based on an NP-complete logic of explicit and implicit belief whose satisfiability...

    Jorge Luis Fernandez Davila, Dominique Longin, ... Frédéric Maris in Autonomous Agents and Multi-Agent Systems
    Article 20 May 2024
  17. On MAX–SAT with Cardinality Constraint

    We consider the weighted MAX–SAT problem with an additional constraint that at most k variables can be set to true. We call this problem k...
    Fahad Panolan, Hannane Yaghoubizade in WALCOM: Algorithms and Computation
    Conference paper 2024
  18. Implementing 3-SAT Gadgets for Quantum Annealers with Random Instances

    The Maximum Boolean Satisfiability Problem (also known as the Max-SAT problem) is the problem of determining the maximum number of disjunctive...
    Pol Rodríguez-Farrés, Rocco Ballester, ... Jesus Cerquides in Computational Science – ICCS 2024
    Conference paper 2024
  19. High Quality Circuit-Based 3-SAT Map**s for Oscillator Ising Machines

    3-SAT is a class of NP-hard combinatorial optimization problems that Ising machines have had difficulty solving successfully. Solution success rate...
    Venkata Pavan Sumanth Sikhakollu, Shreesha Sreedhara, ... Jaijeet Roychowdhury in Unconventional Computation and Natural Computation
    Conference paper 2024
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