The Evolutionary Computation for Combinatorial Optimisation (ECCO) Research Group has a wide range of research interests and projects in solving combinatorial optimisation problems using evolutionary learning and optimisation.
Congratulations to Fangfang Zhang for receiving a ACM SIGEVO Best PhD Dissertation Award (Honorable Mention/Runner-up) in 2022. Her thesis is “Genetic Programming Hyper-heuristics for Dynamic Flexible Job Shop Scheduling”.
Congratulations to Shaolin Wang for winning the ECOM track Best Paper Award at the ACM Genetic and Evolutionary Computation Conference (GECCO) 2022 for their paper “Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems”.
Congratulations to Zhixing Huang for winning the Best Paper Award at the European Conference on Genetic Programming (EuroGP) 2022 for their paper “An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling”.