2026 AGIFORS SSP Conference Montreal, Canada

Events

Marion Technical Writer June 8, 2026

Hexaly is delighted to sponsor AGIFORS SSP (Scheduling and Strategic Planning) 2026, hosted by AGIFORS (Airline Group of the International Federation of Operational Research Societies), a leading global forum that brings together airline operations research professionals from airlines, academia, and technology providers. The event will take place from July 8–10, 2026, at the Centre Sheraton Montreal Hotel, Montreal, Canada. You can access the conference program here.

Visit the Hexaly booth and meet Fred Gardi, Founder & CEO of Hexaly, who will be on-site throughout the conference. He will be available during the event to answer questions and discuss our technology, as well as the latest features of Hexaly 14.5. This new version delivers major performance gains across routing, scheduling, and packing, as well as enhanced nonlinear optimization capabilities. It is particularly suited to complex airline operations, including fleet assignment, crew scheduling, network planning, and disruption management.

Below is the abstract of Fred’s talk at the 2026 AGIFORS SSP conference.

Beyond MILP: Hexaly, a Hybrid Optimization Solver
Fred Gardi, Founder & CEO, Hexaly – Friday, July 10 – 11:30 AM – 12:00 PM

Mixed‑Integer Linear Programming (MILP) has been the dominant optimization framework in Operations Research for several decades. While it has proven extremely powerful, it is also well known that MILP formulations can become unwieldy when confronted with large‑scale, highly combinatorial, non‑convex, or structurally rich problems, particularly in application domains such as routing, scheduling, and packing.

Hexaly is an industrial optimization solver built around a hybrid, post‑MILP approach. Rather than relying primarily on linearization techniques and classical branch‑and‑bound‑centered workflows, it combines heuristic and exact methods and draws inspiration from multiple paradigms, including Mixed‑Integer Programming, Constraint Programming, Nonlinear Programming, and Black‑Box Optimization. A central design objective is modeling expressiveness and openness: enabling users to formulate problems closer to their natural combinatorial structure, while allowing diverse algorithmic components to interact in a complementary manner.

In this talk, I will present the guiding principles behind this approach, with a particular focus on discrete optimization problems where Hexaly currently demonstrates its strongest performance, such as large‑scale routing, scheduling, and packing. I will discuss how hybridization manifests not only at the algorithmic level, but also—crucially—within the modeling layer. Finally, I will provide a transparent overview of the solver’s current algorithmic status, supported by selected performance benchmarks.

We look forward to connecting with the airline operations research community at AGIFORS SSP 2026 in Montreal, Canada.

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