CONOPT - Powerful Nonlinear Optimization
CONOPT is a feasible path solver based on advanced active set methods, particularly suited for large and sparse models. With over 30 years of development history, it is widely used in engineering, economics, and operations research.
Originally developed by ARKI Consulting & Development A/S in Denmark, CONOPT was acquired by GAMS in 2024. CONOPT continues to evolve as a state-of-the-art tool for solving large-scale, continuous optimization models.
Key Features
Large Scale NLP
Excels in smooth, large NLP models with complex constraints.
Feasible Path Solver
Robust, stable, and proven solver for challenging problems.
Smart Model Preprocessing
Automatically detects and removes redundant equations and variables for better solve efficiency.
Second-Order Derivative Support
Can leverage second-order information for fast convergence and better accuracy in suitable models.
Flexible licensing
Available for academic and commercial use with flexible options.
Supported Platforms
Integrates seamlessly with modeling systems (AIMMS, AMPL, GAMS, GAMSPy, Pyomo) and programming languages (C++, C, Fortran, Java, Python).
Learn more
Check the CONOPT Algorithm and Assumptions for more details.
What's New?
With the latest release, CONOPT brings:
- Significant performance improvements in solution speed and robustness
- Modern APIs for C++ and Python to support broader integration
- Improved derivative handling and flexible model interaction
- Ongoing development under the GAMS Solver Division
Check the Download page for the latest release.
Getting started
Ready to try CONOPT?
- Documentation
- Example code and notebooks (Python, C++)
Need help to integrate CONOPT into your own environment? Reach out for API access and consulting options.