If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s deep scientific roots.

Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced recognitions received by Dr. Edward Rothberg and Dr. Andreas Wächter from leading academic and industry ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

Abstract: This paper presents a distribution locational marginal pricing (DLMP) method through chance constrained mixed-integer programming (MIP) designed to alleviate the possible congestion in the ...

Abstract: A mixed-integer programming (MIP) problem contains both constraints and integer restrictions. Integer restrictions divide the feasible region defined by constraints into multiple ...

A new technical paper, “Quantifying the Global Impact of Constraint Programming Based Local Scheduling in Semiconductor Manufacturing,” was published by Infineon and the University of Klagenfurt. “The ...

The computational development of optimization tools is a key component within the MIP community and has proven to be a challenging task. It requires great knowledge of the well-established methods, ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

First-ever ARPA-E quantum award supports breakthrough technology with potential to improve grid optimization efficiency and save billions of dollars annually BOULDER, Colo.--(BUSINESS ...

ABSTRACT: This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to ...

ABSTRACT: This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to ...