CPAIOR2020 - Timo Berthold & Jakob Witzig - Conflict-Free Learning
12:10
CPAIOR2020 - Timo Berthold & Jakob Witzig - Conflict-Free Learning
What's New in FICO Xpress Solver 9.5? (Timo Berthold)
36:04
What's New in FICO Xpress Solver 9.5? (Timo Berthold)
Closing
11:22
Closing
Optimization in practice from long to short, from planning to operation of power grids
25:24
Optimization in practice from long to short, from planning to operation of power grids
Dimension Local Energy Hubs to Reduce Grid Congestion
15:33
Dimension Local Energy Hubs to Reduce Grid Congestion
Gurobi OptiMods - Painless Optimization Templates
21:24
Gurobi OptiMods - Painless Optimization Templates
Combinatorial Optimization at Google tools, solvers, and applications
27:33
Combinatorial Optimization at Google tools, solvers, and applications
Mastering the Optimization Pipeline: A Consultant’s Perspective
23:41
Mastering the Optimization Pipeline: A Consultant’s Perspective
SAP Supply Chain Optimization
31:26
SAP Supply Chain Optimization
Amazon: optimizing the journey of a package.
22:15
Amazon: optimizing the journey of a package.
Optimizing vehicle and crew schedules in public transport
39:09
Optimizing vehicle and crew schedules in public transport
Periodic timetable optimization in public transport
39:42
Periodic timetable optimization in public transport
Design of Public Transit Systems
45:51
Design of Public Transit Systems
Multi objective design and operation optimization for district heating networks
32:27
Multi objective design and operation optimization for district heating networks
Quota Steiner Tree Problem and its Application on Wind Farm Planning
26:57
Quota Steiner Tree Problem and its Application on Wind Farm Planning
Data Preprocessing and Data Quality Assessment for Energy System Optimization
38:43
Data Preprocessing and Data Quality Assessment for Energy System Optimization
From Energy Systems to Material Science: Optimization for a Sustainable Future
44:16
From Energy Systems to Material Science: Optimization for a Sustainable Future
Optimal decision making problems with trained surrogate models embedded
31:03
Optimal decision making problems with trained surrogate models embedded
ML augmented Branch and Bound for MILP
50:08
ML augmented Branch and Bound for MILP
Building upon MIP and non smooth optimization to learn robust deep neural networks
43:37
Building upon MIP and non smooth optimization to learn robust deep neural networks
Machine Learning inside MIP solvers
45:44
Machine Learning inside MIP solvers
Stochastic Local Search Heuristics
29:31
Stochastic Local Search Heuristics
Excuse me, Sir, we ordered 31 minutes ago! How to address time delays in food delivery
17:42
Excuse me, Sir, we ordered 31 minutes ago! How to address time delays in food delivery
Exact Algorithms for Vehicle Routing advances, challenges, and perspectives
43:34
Exact Algorithms for Vehicle Routing advances, challenges, and perspectives
Deep Learning in Robust Optimization
48:50
Deep Learning in Robust Optimization
The Role of Machine Learning for Mathematics
40:39
The Role of Machine Learning for Mathematics
Learning Augmented Algorithms for Scheduling
41:37
Learning Augmented Algorithms for Scheduling
Explainable AI, Learning Objectives, and the Clever Hans Effect
38:54
Explainable AI, Learning Objectives, and the Clever Hans Effect
Branch-and-Price Crash Course
50:14
Branch-and-Price Crash Course
Numerics in LP & MIP Solvers
52:49
Numerics in LP & MIP Solvers