2026 Optimization Lisbon, Portugal

Events

Marion Technical Writer June 10, 2026

Hexaly is delighted to sponsor the Optimization 2026 conference in Lisbon, Portugal. This event brings together researchers and practitioners from diverse fields and backgrounds who share a common interest in Optimization. It marks the 11th edition of a series of international conferences on optimization, organized in Portugal under the auspices of the Portuguese Operations Research Society (APDIO). The conference offers a valuable forum for scientific exchange and collaboration in optimization, operations research, and related disciplines.

The event will take place from July 20–22, 2026, at ISEG, Lisbon School of Economics and Management, Universidade de Lisboa. Attendees can access the conference program online.

Visit the Hexaly booth and meet Thierry Benoist, Founder & CEO of Hexaly, who will be on-site throughout the event. He will be available to answer questions, discuss optimization challenges, and demonstrate the latest capabilities of Hexaly 14.5.

Version 14.5 introduces significant performance enhancements for routing, scheduling, and packing applications, as well as expanded capabilities for nonlinear optimization. The conference also offers an opportunity to learn more about career opportunities at Hexaly in an informal setting. Here is the title and abstract of Thierry’s talk:

Beyond traditional MIP
Thierry Benoist, 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 a next-generation optimization solver designed to extend the scope of traditional MIP. 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 connecting with the Portuguese Operations Research community at Optimization 2026.

Explore our upcoming conferences, events, and webinars to see where you can meet the Hexaly team next.