Treffer: Solving continuous and discrete nonlinear programs with BARON.

Title:
Solving continuous and discrete nonlinear programs with BARON.
Authors:
Zhang, Yi1 (AUTHOR) yzhang@minlp.com, Sahinidis, Nikolaos V.2 (AUTHOR) nikos@gatech.edu
Source:
Computational Optimization & Applications. Dec2025, Vol. 92 Issue 3, p1123-1161. 39p.
Database:
Business Source Elite

Weitere Informationen

Under development since the early 1990s, BARON has become a highly robust and efficient computational system for solving nonconvex continuous and discrete optimization problems to global optimality. This work discusses key features that were introduced to BARON in the past decade, including hybrid relaxations, linear and nonlinear presolve methods, enhanced convexification methods, heuristics, and various robustness enhancements. A systematic computational comparison on benchmark libraries is presented among various state-of-the-art local and global codes for nonlinear and mixed-integer nonlinear programs. The results demonstrate the benefits from the newly added algorithmic facilities, and the leading performance of BARON over both local and global solvers. [ABSTRACT FROM AUTHOR]

Copyright of Computational Optimization & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)