PPSN 2026 Trento, Italy

Hexaly is delighted to sponsor PPSN 2026. The conference will take place on August 29 – September 2, 2026, at the University of Trento, in Italy.
The International Conference on Parallel Problem Solving From Nature (PPSN) is a biannual open forum fostering the study of natural models, iterative optimization heuristics, machine learning, and other artificial intelligence approaches. Hexaly is pleased to support this year’s edition and contribute to the technical program.
Hexaly talk at PPSN 2026 in Trento
As part of the technical program, Francesco Gallo, Optimization Scientist at Hexaly, will give a presentation. The details of Hexaly’s presentation at PPSN 2026 in Trento are available below.
Hexaly: the next-generation MIP solver
Francesco Gallo, Optimization Scientist, Hexaly
Sunday, August 30, 2026, 14:15-15:30
Mixed-Integer Linear Programming (MIP) has been the dominant optimization framework for decades. While highly successful, many real-world problems remain difficult to express naturally within a purely linear paradigm. Large-scale routing, scheduling, packing, simulation-based optimization, and machine-learning-driven decision problems often require extensive reformulations that can obscure problem structure and limit performance.
Hexaly extends the traditional MIP approach with a richer modeling framework designed to capture optimization problems closer to their original form. In addition to classical algebraic modeling, it introduces native combinatorial constructs such as sets, lists, and intervals, together with nonlinear and black-box optimization capabilities. This allows practitioners to model complex systems, simulations, and predictive models directly, without relying on large reformulations.
At the algorithmic level, Hexaly automatically exploits advanced optimization techniques, including decomposition methods, column generation, branch-price-and-cut, and decision diagrams, making sophisticated solution approaches available out of the box.
In this talk, Francesco will present the principles behind this next-generation MIP approach, illustrate its modeling capabilities on routing, scheduling, and packing applications, and provide an overview of the solver’s current performance on selected benchmarks.
The complete conference agenda and additional event information are available on the PPSN 2026 website.
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