A comprehensive study of k-portfolios of recent SAT solvers
Hard combinatorial problems such as propositional satisfiability are ubiquitous. The holy
grail are solution methods that show good performance on all problem instances. However …
grail are solution methods that show good performance on all problem instances. However …
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
This paper introduces AlphaMapleSAT, a novel Monte Carlo Tree Search (MCTS) based
Cube-and-Conquer (CnC) SAT solving method aimed at efficiently solving challenging …
Cube-and-Conquer (CnC) SAT solving method aimed at efficiently solving challenging …
[PDF][PDF] Machine learning innovations for enhancing quantum-resistant cryptographic protocols in secure communication
Quantum computing has introduced unprecedented challenges to traditional cryptographic
systems, rendering many current protocols vulnerable to quantum attacks. Quantum …
systems, rendering many current protocols vulnerable to quantum attacks. Quantum …
Role of Machine Learning for Solving Satisfiability Problems and its Applications in Cryptanalysis
The efficiency of" conflict-based Clause-Learning Boolean Fulfilment (CDCLSAT)" solvers
on engineering problems from several fields has been seeing notable modifications during …
on engineering problems from several fields has been seeing notable modifications during …
AlphaSMT: A Reinforcement Learning Guided SMT Solver
Z Lu - 2023 - uwspace.uwaterloo.ca
Satisfiability Modulo Theories (SMT) solvers are programs that decide whether a first-order
logic formula is satisfiable. Over the last two decades, these solvers have become central to …
logic formula is satisfiable. Over the last two decades, these solvers have become central to …