Correction [SchedulingSeminar] Changhyun Kwon (KAIST/Omelet, Inc.) | October 15 | Learning-Based Approaches to Combinatorial Optimization in Transportation

Dear scheduling researcher,

We are delighted to announce the talk given by Changhyun Kwon 
(KAIST/Omelet, Inc.). The title is " Learning-Based Approaches to 
Combinatorial Optimization in Transportation ". The seminar will take 
place on Zoom on Wednesday, October 15 at 13:00 UTC.
Join Zoom Meeting
https://cesnet.zoom.us/j/96320878964?pwd=0IzVyJYar5VdTRAJIYtRHU8qxkSNes.1
Meeting ID: 963 2087 8964
Passcode: 883125

You can follow the seminar online or offline on our Youtube channel as 
well:
https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A

The abstract follows.
Combinatorial optimization problems arising in transportation are often 
NP-hard, making them computationally challenging to solve at scale. 
Recent advances in machine learning have opened new avenues for tackling 
such problems, either as standalone solution strategies or by enhancing 
traditional optimization algorithms. This talk surveys a spectrum of 
learning-based approaches for transportation optimization, including: 
(i) end-to-end learning models, (ii) integration within exact 
algorithms, (iii) learning to guide local search, (iv) accelerating 
metaheuristics, (v) embedding within optimization formulations, and (vi) 
test-time search strategies. This talk will discuss the principles 
behind each approach, highlight representative applications, and reflect 
on both their current potential and open challenges for the future of 
transportation optimization.
The next talk in our series will be:
Zijie Zhou (IEDA, HKUST) | October 29 | Efficient and Robust Large 
Language Model (LLM) Inference Scheduling Optimization
For more details, please visit https://schedulingseminar.com/

With kind regards

Zdenek Hanzalek, Michael Pinedo and Guohua Wan

-- 
Zdenek Hanzalek
Industrial Informatics Department,
Czech Institute of Informatics, Robotics and Cybernetics,
Czech Technical University in Prague,
Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic
https://rtime.ciirc.cvut.cz/~hanzalek/

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