SBPO 2026 Belo Horizonte, Brazil
Hexaly is proud to participate as a Diamond Sponsor of SBPO 2026, the 58th Brazilian Operations Research Symposium (Simpósio Brasileiro de Pesquisa Operacional).
The conference will take place September 28–October 1, 2026, in Belo Horizonte, Brazil. As one of Latin America’s leading conferences on operations research, it brings together researchers, practitioners, and industry professionals to present the latest advances in mathematical optimization and decision science.
Founded in 1968, the Brazilian Operations Research Symposium is the annual conference of the Brazilian Operations Research Society. Each year, it provides a forum for researchers and practitioners to exchange ideas, present new research, and discuss real-world applications of optimization across academia and industry.
As a Diamond Sponsor, Hexaly looks forward to connecting with the Brazilian Operations Research community and demonstrating how Hexaly Optimizer extends traditional Mixed-Integer Programming (MIP) to solve large-scale, real-world optimization problems.
Meet Hexaly at SBPO 2026
Visit the Hexaly booth and meet Fred Gardi, Ph.D., Founder & CEO of Hexaly. Whether you work in academia or industry, stop by our booth to discuss your optimization challenges and discover how Hexaly extends traditional Mixed-Integer Programming (MIP).
You’ll also have the opportunity to discover what’s new in Hexaly 15.0, including major performance improvements in routing, scheduling, and packing, as well as advances in nonlinear optimization.
Don’t miss Fred Gardi’s technical presentation at the conference. He will present the new features in Hexaly 15.0 and discuss the technologies behind Hexaly’s next-generation optimization solver.
Hexaly, beyond traditional MIP
Fred Gardi, Founder & CEO, Hexaly
Mixed-Integer Programming (MIP) has been the dominant optimization framework in Operations Research for several decades. While highly effective, classical MIP formulations can become increasingly difficult to express and solve as problems grow in scale and structural complexity, particularly in domains such as routing, scheduling, and packing.
Hexaly is an enriched MIP solver. Rather than relying solely on linearization and standard branch-and-bound workflows, it provides a unified framework for modeling and solving combinatorial and nonlinear problems in a more natural way. By integrating techniques from MIP, constraint programming, nonlinear optimization, and black-box optimization within a single engine, Hexaly enables more expressive models while maintaining high solution quality and scalable performance.
In this talk, I will present the key principles behind this approach, with a focus on large-scale discrete optimization problems where Hexaly performs best, such as routing, scheduling, and packing. I will show how this extended modeling framework enables problems to be formulated more closely to their underlying structure, while allowing diverse algorithmic components to interact in a complementary manner. Finally, I will present selected benchmark results illustrating the practical impact of this approach.
Additional details, date, time, and location, will be announced soon. Check back for updates.
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