MaxSAT Solver

MaxSAT solvers are algorithms designed to find the assignment of Boolean variables that satisfies the maximum number of clauses in a Boolean formula, a crucial problem in computer science and artificial intelligence. Current research focuses on improving solver efficiency and correctness through techniques like advanced preprocessing, incremental learning approaches (e.g., using MaxSAT within machine learning models), and novel algorithm designs incorporating elements such as local search, neural networks (including GPU acceleration), and dynamic programming. These advancements are significant because MaxSAT is fundamental to solving numerous NP-hard optimization problems across diverse fields, from AI planning and machine learning to operations research.