Evolutionary Scheduling and Combinatorial Optimisation

This research focuses on solving complicated real-world optimisation problems, which are typically NP-hard. Examples include job shop scheduling, vehicle routing, research allocation and scheduling in cloud, and web service composition. It is normally hardly possible to solve these problems to optimality. We have developed effective evolutionary algorithms and meta-heuristics to search for near-optimal solutions in a short time budget.

Yi Mei
Yi Mei
Senior Lecturer

My research interests include Evolutionary Computation and Learning, particularly hyper-heuristics for automated algorithm/heuristic design for complex dynamic real-world optimisation problems such as scheduling, vehicle routing, tourist trip recommendation, resource allocation.