CSMIO 2026 Monterrey, Mexico

Events

Louisa Senior Technical Writer September 7, 2026

Hexaly is proud to participate as a Diamond Sponsor of CSMIO 2026, the XIV Congreso de la Sociedad Mexicana de Investigación de Operaciones.

The conference will take place October 7–9, 2026, in Monterrey, Mexico. Organized by the Sociedad Mexicana de Investigación de Operaciones (SMIO) in collaboration with the Universidad de Monterrey, CSMIO 2026 will bring together researchers, academics, professionals, and students from Mexico and around the world to share the latest advances in Operations Research.

The congress aims to provide a meeting point for the scientific community working in Operations Research, fostering the exchange and dissemination of recent scientific and technological developments, as well as new academic and professional collaborations.

The program will feature plenary talks and tutorials by specialists in the field, regular sessions presenting research and practical applications, a poster exhibition, a best thesis award competition, and a Location-Routing Challenge sponsored by Hexaly.

As a Diamond Sponsor, Hexaly looks forward to connecting with the Mexican Operations Research community and demonstrating how Hexaly Optimizer helps solve large-scale, real-world optimization problems.

Meet Hexaly at CSMIO 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 Optimizer can help you model and solve complex optimization problems efficiently.

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.

Fred Gardi, Ph.D., Founder & CEO of Hexaly, will also give a technical presentation during the conference.

Hexaly, beyond traditional MIP
Fred Gardi, Founder & CEO, Hexaly
Friday, October 9, 2026, 11:00 AM-12:30 PM
Salas 5 y 6 de Aprendizaje Permanente, ESTOA Nivel B

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.

We look forward to meeting the CSMIO community in Monterrey!

Explore upcoming conferences, events, and webinars to see where the Hexaly team will appear next.