Speaker: Rong Qu, Associated Professor, School of Computer Science, University of Nottingham, UK
Date: 26 July 2022
Time: 10:00 - 11:00am (UK Time, UTC+1)
A/Prof. Rong Qu is an Associated Professor at the University of Nottingham. Her main research interests include the modelling and optimisation with evolutionary algorithms, mathematical programming, machine learning in operational research and artificial intelligence, and hybridisations of these techniques. Dr. Qu has been the associate editor at IEEE Transactions of Evolutionary Computation, Journal of the Operational Research Society, PeerJ, IEEE CIM, and Journal of Scheduling. She is an IEEE Senior Member since 2012, and has been the Chair / Vice-Chair of Task Committee of Intelligence Systems and Applications, and several task forces at the IEEE Computational Intelligence Society. Dr Qu has been awarded The Royal Society 2022 Senior Research Fellowship.
Combinatorial optimisation problems appear in many real world applications in management and business sectors. This seminar presents research developments of evolutionary and metaheuristic algorithms for some example applications including transport scheduling, personnel scheduling and network routing, etc. Followed by these examples, advances in automated algorithm design will also be discussed, including the modeling of algorithm design, supported by machine learning, for combinatorial optimisation problems.
The Webinar went very successful, with 120+ participants.
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