A general optimization solver based on OP-to-MaxSAT reduction

📰 ArXiv cs.AI

Learn to solve optimization problems using OP-to-MaxSAT reduction with a general solver, enhancing generality across diverse fields

advanced Published 27 Apr 2026
Action Steps
  1. Formulate an optimization problem
  2. Apply OP-to-MaxSAT reduction to convert the problem
  3. Use a MaxSAT solver to find the optimal solution
  4. Evaluate the solution using metrics like optimality and computational efficiency
  5. Refine the problem formulation or reduction method as needed
Who Needs to Know This

Researchers and engineers in fields like engineering, economics, and scientific computing can benefit from this approach to solve various optimization problems

Key Insight

💡 OP-to-MaxSAT reduction enables a general optimization solver to tackle diverse problem types

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📈 Solve optimization problems with OP-to-MaxSAT reduction! 🤖

Key Takeaways

Learn to solve optimization problems using OP-to-MaxSAT reduction with a general solver, enhancing generality across diverse fields

Full Article

Title: A general optimization solver based on OP-to-MaxSAT reduction

Abstract:
arXiv:2604.21961v1 Announce Type: cross Abstract: Optimization problems are fundamental in diverse fields, such as engineering, economics, and scientific computing. However, current algorithms are mostly designed for specific problem types and exhibit limited generality in solving multiple types of optimization problems. To enhance generality, we propose an automated reduction method named OP-to-MaxSAT reduction and a general optimization solver based on OP-to-MaxSAT reduction (GORED). GORED uni
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