Meet Hexaly at the 2024 INFORMS Annual Meeting
Hexaly is proud to be a Diamond Sponsor of the 2024 INFORMS Annual Meeting, which will be held from October 20 to 23, 2024, in the new Summit Building at the Seattle Convention Center, Washington. The conference program can be accessed here.
Meet our team at booth 201 to discover the latest features and applications of Hexaly 13.0, and explore our job opportunities. To learn more about Hexaly, attend the presentations by Fred Gardi, co-founder of Hexaly. Below is a summary of his presentations.
Hexaly, a new kind of global optimization solver
Hexaly is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, thus enabling black-box optimization and, more particularly, simulation optimization. In a sense, Hexaly APIs unify modeling concepts from mixed-linear programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods: spatial branch-and-bound, simplex methods, interior-point methods, augmented Lagrangian methods, automatic Dantzig-Wolfe reformulation, column and row generation, propagation methods, local search, direct search, population-based methods, and surrogate modeling techniques for black-box optimization.
Regarding performance benchmarks, Hexaly distinguishes itself against the leading solvers in the market, like Gurobi, IBM Cplex, and Google OR Tools, by delivering fast and scalable solutions to problems in the space of Supply Chain and Workforce Management like Routing, Scheduling-Packing-Clustering-Matching-Assignment-Location problems. For example, on notoriously hard problems like the Pickup/Delivery Problem with Time-Windows or Flexible Job Shop-Scheduling with Setup Times, Hexaly delivers solutions with a gap to the best solutions known in the literature smaller than 1% in a few minutes of running times on a basic computer.
In addition to the Optimizer, we provide an innovative development platform called Hexaly Studio to model and solve rich Vehicle-Routing and Job-Shop Scheduling problems in a no-code fashion. The user can define its problem and data, run the Optimizer, visualize the solutions and key metrics through dashboards, and deploy the resulting app in the cloud – without coding.
If you’re interested in Hexaly, you can request a trial license here. In the meantime, feel free to contact us; we will be glad to exchange your optimization problems. Additionally, Hexaly is free for faculty and students, so feel free to request your academic license!