YinzOR 2024 Pittsburgh, USA

Events

Louisa Senior Technical Writer June 10, 2024

Hexaly was delighted to sponsor YinzOR 2024, hosted by the Carnegie Mellon University INFORMS Student Chapter on August 23–24, 2024, at the Tepper School of Business, Carnegie Mellon University, in Pittsburgh, Pennsylvania.

YinzOR brings together PhD students, researchers, faculty, and industry professionals in operations research, management science, industrial engineering, and related fields. The two-day student conference featured invited talks, flash talks, a poster competition, and opportunities for researchers to connect and exchange ideas. Hexaly was pleased to support this year’s edition and contribute to the technical program.

Hexaly talk at YinzOR 2024

As part of the technical program, Fred Gardi, Ph.D., Founder & CEO of Hexaly, gave an in-person presentation:

Hexaly, a new kind of global optimization solver
Fred Gardi, Ph.D., Founder & CEO, Hexaly
Saturday, August 24, 2024, from 1:30 PM to 2:10 PM, Tepper 3801

Hexaly Optimizer 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 spaces of Supply Chain and Workforce Management like Routing, Scheduling, Packing, Clustering, and Location. For example, on notoriously hard problems like the Pickup and 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. This web-based platform is particularly interesting for educational purposes; it is free for faculty and students.

The complete conference agenda and additional event information are available on the YinzOR 2024 website.

Explore upcoming conferences, events, and webinars to discover the next opportunities to meet the Hexaly team.