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Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles
Fergal Stapleton, Edgar Galván, Ganesh Sistu +1
The incentive for using Evolutionary Algorithms (EAs) for the automated optimization and training of deep neural networks (DNNs), a process referred to as neuroevolution, has gaine…
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition
Fergal Stapleton, Edgar Galván
Semantic diversity in Genetic Programming has proved to be highly beneficial in evolutionary search. We have witnessed a surge in the number of scientific works in the area, starti…
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
Edgar Galván, Fergal Stapleton
The study of semantics in Genetic Program (GP) deals with the behaviour of a program given a set of inputs and has been widely reported in helping to promote diversity in GP for a…
Semantic-based Distance Approaches in Multi-objective Genetic Programming
Edgar Galván, Fergal Stapleton
Semantics in the context of Genetic Program (GP) can be understood as the behaviour of a program given a set of inputs and has been well documented in improving performance of GP f…