CENTRAL Seminar

Wednesday 15 July 2026, 10:00am to 12:00pm

Venue

MAN - Mngt School LT19 WPB002 - View Map

Open to

Postgraduates, Staff

Registration

Registration not required - just turn up

Event Details

CENTRAL Seminar

10:00 – Vinh Doan (University of Warwick): “Stochastic congestion games under random participation”

10:50 –11:10 – Coffee break

11:10 – Ahmed Kheiri (University of Manchester): “Hyper-heuristic for Complex Logistics Operations”

12:00 – Conclusion

Abstract: Vinh Doan (University of Warwick)

We study stochastic weighted congestion games, in which players with heterogeneous weights participate independently with known probabilities, capturing demand uncertainty in systems such as cloud computing and global shipping logistics. We analyse the equilibria and efficiency via price of anarchy (PoA) of the games under two cost sharing

rules, the Shapley value (SV) and proportional sharing (PS) rule, for polynomial cost functions. The results demonstrate how random participation can mitigate worst-case equilibrium inefficiency in weighted congestion games. This is joint work with Weicheng Wang and Bo Chen.

Abstract: Ahmed Kheiri (University of Manchester)

Real-world routing and scheduling problems are often characterised by complex operational constraints, dynamic decision environments and competing business objectives that make exact optimisation impractical. Hyper-heuristics offer a higher-level search methodology that aims to automate the selection and coordination of problem-specific heuristics, reducing the need for extensive manual algorithm design while maintaining strong solution quality. This talk presents the application of selection hyper-heuristics to industrial routing and scheduling problems, with a focus on large-scale inventory routing and logistics operations. Using a real-world case study from the industrial gas distribution sector, I will demonstrate how sequence-based hyper-heuristics can learn effective combinations of low-level heuristics during the search process and adapt their behaviour according to observed performance.

Speakers

Ahmed Kheiri

University of Manchester

Ahmed's research focuses on hyper-heuristics and metaheuristics for optimisation. He develops adaptive search methods that automatically learn how to solve complex decision problems, with applications in transportation, scheduling and healthcare. His work has appeared in leading journals including Transportation Science and the European Journal of Operational Research, and he is internationally recognised for his contributions to hyper-heuristic research.

Dr Xuan Vinh Doan

Warwick Business School

Vinh served as the group’s Research Environment Lead in Analytics (2023 - 2025) and was a Turing Fellow at the Alan Turing Institute for five years (2018–2023). Before joining Warwick Business School, Vinh was a Postdoctoral Fellow in the Department of Combinatorics and Optimization at the University of Waterloo. He earned his PhD from the Operations Research Center at MIT, completed his master’s studies through the MIT–Singapore Alliance program, and holds an undergraduate degree from RMIT Uni.

Contact Details

Name Guglielmo Lulli
Email

g.lulli@lancaster.ac.uk

Directions to MAN - Mngt School LT19 WPB002

West Pavilion, LUMS