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Optimization-based Learning for Dynamic Load Planning in Trucking
  Service Networks

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks

8 July 2023
Ritesh Ojha
Wenbo Chen
Hanyu Zhang
Reem Khir
A. Erera
Pascal Van Hentenryck
ArXivPDFHTML

Papers citing "Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks"

5 / 5 papers shown
Title
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel
  Service Industry
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
Thomas Bruys
Reza Zandehshahvar
Amira Hijazi
Pascal Van Hentenryck
56
2
0
26 Nov 2024
All You Need is an Improving Column: Enhancing Column Generation for
  Parallel Machine Scheduling via Transformers
All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers
Amira Hijazi
Osman Ozaltin
Reha Uzsoy
36
0
0
21 Oct 2024
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep
  Learning Method
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary
Ferdinando Fioretto
Pascal Van Hentenryck
29
20
0
12 Oct 2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
Minas Chatzos
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
35
38
0
17 Jan 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
160
0
19 Sep 2019
1