Fix typo in paper

Author: GermanHeim

paper/paper.md

@@ -32,7 +32,7 @@ bibliography: paper.bib
 
 Global optimization is a fundamental problem in engineering, physics, and applied mathematics, where objective functions often exhibit multiple local minima. The existing `OQNLP` algorithm [@ugray] effectively balances exploration (broad exploration of the search space) and exploitation (local refinement of promising regions) by employing a multi-start strategy with scatter search and local optimization.
 
-Building on these algorithmic advances, practical software implementations have become essential for researchers and engineers. MATLAB’s `GlobalSearch`, for example, has been widely adopted, with applications ranging from airfoil design optimization [@airfoil] and kinetic mechanism analysis of polyurethane decomposition [@kinetics]. However, despite its popularity, to the best of our knowledge, no actively maintained open-source alternative currently exists. The only open-source implementation, `MEIGO` [@meigo], is still written in MATLAB, a proprietary language, limiting accessibility.
+Building on these algorithmic advances, practical software implementations have become essential for researchers and engineers. MATLAB’s `GlobalSearch`, for example, has been widely adopted, with applications ranging from airfoil design optimization [@airfoil] to kinetic mechanism analysis of polyurethane decomposition [@kinetics]. However, despite its popularity, to the best of our knowledge, no actively maintained open-source alternative currently exists. The only open-source implementation, `MEIGO` [@meigo], is still written in MATLAB, a proprietary language, limiting accessibility.
 
 `GlobalSearch-rs` addresses this gap and extends its functionality with additional features designed to improve practical usability. It offers a modern, high-performance implementation for bound-constrained nonlinear programming (NLP) problems: