2020 INFORMS Annual Virtual Conference

Join us at INFORMS!

Gurobi Optimization will be presenting and exhibiting at the 2020 INFORMS Annual Conference. This conference will be held virtually from November 8th to November 13th.

Visit our Virtual Booth to:

  • Preview the new features and performance enhancements in the Gurobi Optimizer 9.1.
  • Chat with our optimization experts.
  • Take our Python Modeling challenge and stand a chance to win cool prizes. Details coming soon!

Hear from Gurobi Presenters at INFORMS including:

  • Zonghao Gu, PhD, Chief Technology Officer and Co-Founder of Gurobi Optimization
  • Tobias Achterberg, PhD, Vice President of R&D
  • Ed Klotz, PhD, Senior Mathematical Optimization Specialist
  • Pano Santos, PhD, Senior Technical Content Manager
  • Richard Oberdieck, PhD, Technical Account Manager

Attend Gurobi sessions, including:

  • Workshop: Recent Developments in the Gurobi Optimizer 9.1
  • Improvements in the Gurobi Optimizer, Session MD33
  • MINLP in Gurobi: New Advances, Session MC33
  • New Performance Techniques in the Gurobi Optimizers, Session MB33
  • Specialized Strategies for Products of Primary Variables​, Session MC36

 

Sunday, November 8

Time Event
12-3pm EST Exhibit Hall Opens – Visit the Gurobi Virtual Booth

 

Monday, November 9

Time Event
11am-5pm EST Exhibits Open – Visit the Gurobi Virtual Booth
12:30-1:45pm EST  

Recent Advances in Integer Optimization Software: New Performance Techniques In the Gurobi Optimizers, Zonghao Gu

In this session, we will discuss various new techniques or ideas to improve the performance to solve linear programs, mixed integer linear programs, convex and non-convex mixed integer quadratic (constrained) programs and then show the computational results for these techniques.

MB33, Virtual Room 33

 

1:45-2pm EST Break – Visit the Gurobi Virtual Booth
2-3:15pm EST  

MINLP Software: MINLP in Gurobi: New Advances, Tobias Achterberg

With Gurobi version 9.0, we introduced the capability to solve non-convex mixed integer quadratically constrained problems (MIQCPs) to global optimality. During this session, we will report on additional algorithmic enhancements and their performance impact since the 9.0 release.

MC33, Virtual Room 33

 

2-3:15pm EST Integer Programming and Combinatorial Optimization: Strategies For Solving Integer Programs With Products Of Binary Variables, Ed Klotz

Numerous Integer Programming formulations exist involving products of binary variables. In some cases, they arise naturally from the formulation; in other cases they are created by model reformulations. Regardless, such products of binaries can be replaced with linear constraints and can transform a Mixed Integer Quadratic Program (MIQP) into a potentially easier Mixed Integer Program (MILP). However, such transformations may pose specific performance challenges absent from other MILP models. This presentation will take a look at some of those challenges and consider strategies to improve performance on such MILPs.

MC36, Virtual Room 36

 

3:15-3:30pm EST Break – Visit the Gurobi Virtual Booth
4:30-5:45pm EST  

Advances in Optimization Software: Improvements In The Gurobi Optimizer, Zonghao Gu

Our recent Gurobi 9.0 release included a number of new features and capabilities, including non-convex quadratic optimization, a matrix-oriented Python API, MIP scenario analysis, automatic PWL approximation of non-linear functions, and other features. During this session, we will discuss what we’ve learned about how customers are using these new features, and improvements we have made since these new features were released.

MD33, Virtual Room 33

 

Tuesday, November 10

Time Event
11am-5pm EST Exhibits Open – Visit the Gurobi Virtual Booth
 

1:45-2pm EST

 

Break – Visit the Gurobi Virtual Booth

2-3:15pm EST  

Data-Driven Resource Planning in Services: Technician Routing And Scheduling In The Telecom Industry, Cipriano Santos

During this session, we will discuss a technician routing and scheduling problem that is common among telecommunications firms that operates multiple service centers with multi-skilled technicians to serve their customers. We will examine this multi-depot vehicle routing problem with time windows (MDVRPTW) model and formulate it as a mixed-integer linear program. This real-world use case and computational study will be presented to demonstrate the behavior of optimal solutions and the performance of the model as key input parameters vary.

TC59, Virtual Room 59

 

3:15-3:30pm EST Break – Visit the Gurobi Virtual Booth

 

Wednesday, November 11

Time Event
11am-5pm EST Exhibits Open – Visit the Gurobi Virtual Booth
12-2pm EST  

Gurobi Workshop – Recent Developments in the Gurobi Optimizer 9.1

Presented by: Zonghao Gu, Tobias Achterberg, and Ed Klotz,

During this session, we will provide an overview of the new Gurobi 9.1 release. We will highlight some of the new features included in this release such as the enhancements to the Python API, and also talk about the speed-ups that we achieved in our MIP, LP and QP algorithms. In particular, we will cover our  Irreducible Infeasible Set of constraints (IIS) algorithm and its improvements, the new MIP heuristic for models with extremely difficult LP relaxations and some of the techniques that resulted in the huge speed-up of our non-convex MIQCP solver.

Visit our booth and choose the “Join Workshop” button to be prompted to join a Zoom meeting.

 

2-3:00pm EST Advances in MINLP, Data-driven and Global Optimization: MINLP in Gurobi- New Advances, Richard Oberdieck

WC33, Virtual Room 33

2-3:15pm EST  

Energy Market Models, Software and Applications: MIP for Security Constrained Unit Commitment, Zonghao Gu

MIP is widely used in electrical power applications, such as unit commitment. This talk will cover some MIP techniques to solve security constrained unit commitment models faster. In particular, we will discuss a number of heuristic schemes for producing better solutions quickly.

WC15, Virtual Room 36

 

3:15-3:30pm EST Break – Visit the Gurobi Virtual Booth

 

Thursday, November 12

Time Event
11am-5pm EST Exhibits Open – Visit the Gurobi Virtual Booth
12:30-1pm EST  

Gurobi Software Tutorial: Standard Pooling Problem: Build Your Optimization Skills with Python, Cipriano Santos

During this tutorial, we will discuss the Standard Pooling Problem – a challenging problem common in the petrochemical refining, wastewater treatment, food processing, and mining industries. We will present two alternative formulations (formulated as Quadratically Constrained Quadratic Problems) using the Gurobi Python API and solve them with the Gurobi Optimizer to contrast their performance.

ThB64, Virtual Room 64

 

1:45-2pm EST Break – Visit the Gurobi Virtual Booth
 

3:15-3:30pm EST

 

Break – Visit the Gurobi Virtual Booth

 

Friday, November 13

Time Event
11am-5pm EST Exhibits Open – Visit the Gurobi Virtual Booth
 

 1:45-2pm EST

 

Break – Visit the Gurobi Virtual Booth

 

 3:15-3:30pm EST

 

Break – Visit the Gurobi Virtual Booth