2026 YAEM Conference Istanbul, Turkey

Events

Marion Technical Writer June 8, 2026

Hexaly is proud to be a Gold Sponsor of the 2026 YAEM Conference, the annual gathering of the Turkish Operations Research and Industrial Engineering community. The conference provides a valuable forum for scientific exchange and collaboration in optimization, operations research, and related disciplines.

The event will take place from June 29 to July 1, 2026, at Istanbul Technical University’s Maçka Campus in Istanbul, Turkey. Attendees can access the conference program online.

Visit the Hexaly booth and meet our Optimization Scientist, Lorenzo Canonne, Ph.D., 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 major performance enhancements for routing, scheduling, and packing applications, along with expanded capabilities for nonlinear optimization. The conference also offers an opportunity to learn more about career opportunities at Hexaly in an informal setting.

Below is the abstract of Hexaly’s talk at the 2026 YAEM conference.

Hexaly, a new kind of global optimization solver, by Lorenzo Canonne, Ph.D.

Tuesday, june 30 – 2.30 p.m

Hexaly Optimizer is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. In a sense, Hexaly APIs unify and extend modeling concepts from mixed-linear programming, nonlinear programming, constraint programming, and black-box optimization. Under the hood, Hexaly combines various exact and heuristic optimization methods, such as branch-and-bound, automatic Dantzig-Wolfe reformulation, column and row generation, propagation methods, local search, direct search, and surrogate modeling techniques.

Regarding performance benchmarks, Hexaly distinguishes itself from leading solvers such as Gurobi, IBM Cplex, and Google OR Tools by delivering fast, scalable solutions for Routing, Scheduling, Packing, Clustering, and Location problems.

This talk will introduce our set-based modeling formalism and show its scalability for large instances. We will then explore how the solver can use this formalism to automatically use state-of-the-art resolution techniques from the exact and heuristic fields.

We look forward to connecting with the Turkish Operations Research community at YAEM 2026.

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