EA Artificial Evolution 2026 Nice, France

Events

Marion Technical Writer September 8, 2026

Hexaly is proud to participate as a Sponsor of EA Artificial Evolution 2026, the 17th International Conference on Artificial Evolution.

The conference will take place October 27-29, 2026, in Nice, France. As a leading international conference on evolutionary computation and optimization, EA Artificial Evolution 2026 together researchers and practitioners from academia and industry to present the latest advances in artificial evolution, metaheuristics, machine learning, and optimization.

As a sponsor, Hexaly looks forward to connecting with the evolutionary computation community and demonstrating how Hexaly Optimizer extends traditional optimization approaches to solve large-scale, real-world optimization problems.

Meet Hexaly at EA Artificial Evolution 2026

Visit the Hexaly booth and meet Francesco Gallo, Optimization Scientist at Hexaly. Whether you work in academia or industry, stop by our booth to discuss your optimization challenges and discover how Hexaly extends traditional optimization technologies to address increasingly complex planning and decision-making problems.

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 the opportunity to meet the Hexaly team during the conference. We will be showcasing the latest developments in Hexaly Optimizer and discussing the technologies behind Hexaly’s next-generation optimization solver.

Hexaly, The Next-Generation MIP Solver
Francesco Gallo, Optimization Scientist, Hexaly
Thursday, October 29, 2026, 11:30 AM

Hexaly is an enriched MIP 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 exact and heuristic optimization methods, such as branch-and-bound, automatic Dantzig-Wolfe reformulation, column and row generation, propagation, 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 scalable solutions for Routing, Scheduling, Packing, Clustering, and Location problems.

This talk introduces our set-based modeling formalism and highlights its scalability for large instances, while explaining how the solver automatically leverages state-of-the-art exact and heuristic techniques.

We look forward to exchanging ideas with the Artificial Evolution community and discussing the future of optimization technologies with conference participants.

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