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08/04/2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
Machine learning has rapidly evolved during the last decade, achieving e...
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05/05/2023
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares
Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient ...
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02/07/2023
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...
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08/29/2022
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne
Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...
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06/10/2022
Highlights of Semantics in Multi-objective Genetic Programming
Semantics is a growing area of research in Genetic programming (GP) and ...
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05/31/2022
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Generating a detailed near-field perceptual model of the environment is ...
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05/04/2022
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles
The incentive for using Evolutionary Algorithms (EAs) for the automated ...
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12/17/2021
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne
Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...
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05/06/2021
Semantics in Multi-objective Genetic Programming
Semantics has become a key topic of research in Genetic Programming (GP)...
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02/28/2021
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition
Semantic diversity in Genetic Programming has proved to be highly benefi...
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02/16/2021
Neuroevolution in Deep Learning: The Role of Neutrality
A variety of methods have been applied to the architectural configuratio...
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12/08/2020
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
The study of semantics in Genetic Program (GP) deals with the behaviour ...
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09/27/2020
Playing Carcassonne with Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) is a relatively new sampling method with ...
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09/25/2020
Semantic-based Distance Approaches in Multi-objective Genetic Programming
Semantics in the context of Genetic Program (GP) can be understood as th...
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08/30/2020
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing
Multiple Artificial Intelligence (AI) methods have been proposed over re...
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06/09/2020