# HiGHS optimization solver > Numerical software **Wikidata**: [Q113289177](https://www.wikidata.org/wiki/Q113289177) **Wikipedia**: [English](https://en.wikipedia.org/wiki/HiGHS_optimization_solver) **Source**: https://4ort.xyz/entity/highs-optimization-solver ## Summary HiGHS optimization solver is a numerical software tool designed for mathematical optimization, particularly linear programming and mixed-integer optimization. It is open-source, licensed under the MIT License, and developed by the ERGO-Code organization. The solver is notable for its implementation of the dual revised simplex method and its performance in parallel computing environments. ## Key Facts - **Primary use**: Mathematical optimization, including linear programming and mixed-integer optimization. - **License**: MIT License, allowing free use, modification, and distribution. - **Latest stable version**: 1.6.0 (released on 2023-09-29). - **Website**: [https://www.highs.dev/](https://www.highs.dev/) (English). - **Source code repository**: Hosted on GitHub at [https://github.com/ERGO-Code/HiGHS](https://github.com/ERGO-Code/HiGHS). - **Copyright status**: Copyrighted. - **Described by source**: "Parallelizing the dual revised simplex method." - **Instance of**: Software. - **Wikipedia title**: "HiGHS optimization solver" (English version). ## FAQs ### Q: What is HiGHS optimization solver used for? A: HiGHS is primarily used for mathematical optimization tasks, including linear programming and mixed-integer optimization. It is designed to solve large-scale optimization problems efficiently. ### Q: Is HiGHS optimization solver free to use? A: Yes, HiGHS is open-source and licensed under the MIT License, which allows for free use, modification, and distribution. ### Q: How can I access the source code for HiGHS? A: The source code is available on GitHub at [https://github.com/ERGO-Code/HiGHS](https://github.com/ERGO-Code/HiGHS). ### Q: What is the latest version of HiGHS? A: The latest stable version is 1.6.0, released on September 29, 2023. ### Q: What method does HiGHS use for optimization? A: HiGHS implements the dual revised simplex method, which is parallelized for improved performance. ## Why It Matters HiGHS optimization solver plays a crucial role in the field of mathematical optimization by providing an efficient and open-source tool for solving linear and mixed-integer programming problems. Its implementation of the dual revised simplex method, along with its parallel computing capabilities, makes it particularly suitable for large-scale optimization tasks. The solver's availability under the MIT License ensures that it is accessible to a wide range of users, from researchers to industry professionals. By offering a robust and free alternative, HiGHS contributes to advancing the field of optimization and supporting various applications that rely on mathematical modeling. ## Notable For - **Open-source and MIT-licensed**: Allows free use, modification, and distribution. - **Parallelized dual revised simplex method**: Enhances performance for large-scale optimization problems. - **Active development**: Regular updates and improvements, with the latest stable version being 1.6.0. - **GitHub-hosted source code**: Easy access to the codebase for users and contributors. - **English-language documentation**: Clear and accessible resources for users. ## Body ### Overview HiGHS optimization solver is a numerical software tool developed for mathematical optimization, with a focus on linear programming and mixed-integer optimization. It is licensed under the MIT License, making it freely available for use, modification, and distribution. ### Development and Releases HiGHS is maintained by the ERGO-Code organization, with the source code hosted on GitHub. The project has seen multiple releases, with the latest stable version being 1.6.0, released on September 29, 2023. Previous versions include 1.5.3 (May 27, 2023), 1.5.1 (February 24, 2023), and earlier releases dating back to 2021. ### Technical Details HiGHS implements the dual revised simplex method, which is parallelized to improve performance. The solver is designed to handle large-scale optimization problems efficiently. The software is described by its developers as "Parallelizing the dual revised simplex method," highlighting its key feature. ### Accessibility and Documentation The official website for HiGHS is [https://www.highs.dev/](https://www.highs.dev/), where users can find documentation and resources. The English-language documentation ensures broad accessibility. The Wikipedia page titled "HiGHS optimization solver" provides additional context and details about the software. ### Copyright and Licensing HiGHS is copyrighted and licensed under the MIT License, which allows for open-source use. The copyright status ensures that the software is protected while remaining accessible to the community. ## References 1. [Release 1.1.1. 2021](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.1.1) 2. [Release 1.2.1. 2022](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.2.1) 3. [Release 1.2.2. 2022](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.2.2) 4. [Release 1.3.0. 2022](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.3.0) 5. [Release 1.4.0. 2022](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.4.0) 6. [Release 1.4.1. 2022](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.4.1) 7. [Release 1.4.2. 2023](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.4.2) 8. [Release 1.5.1. 2023](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.5.1) 9. [Release 1.5.3. 2023](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.5.3) 10. [Release 1.6.0. 2023](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.6.0) 11. [Release 1.7.0. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.7.0) 12. [Release 1.7.1. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.7.1) 13. [Release 1.7.2. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.7.2) 14. [Release 1.8.0. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.8.0) 15. [Release 1.8.1. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.8.1) 16. [Release 1.9.0. 2024](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.9.0) 17. [Release 1.10.0. 2025](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.10.0) 18. [Release 1.11.0. 2025](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.11.0) 19. [Release 1.12.0. 2025](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.12.0) 20. [Release 1.12.0. 2026](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.13.0) 21. [Release 1.13.1. 2026](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.13.1) 22. [Release 1.14.0. 2026](https://github.com/ERGO-Code/HiGHS/releases/tag/v1.14.0)