Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms.
IEEE Trans. Intell. Transp. Syst., September, 2024
Optimising Public Transport Through the Integration of Micro and Macro-level Simulations.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2024 - 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25, 2024
VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
DEFEG: Deep Ensemble with Weighted Feature Generation.
Knowl. Based Syst., 2023
On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Rating Learning Object Quality with Distributed Bayesian Belief Networks: The Why and the How.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005