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27th EvoApplications 2024: Aberystwyth, UK - Part II
- Stephen L. Smith
, João Correia
Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14635, Springer 2024, ISBN 978-3-031-56854-1
Evolutionary Machine Learning
- Erdi Sayar, Vladislav Vintaykin, Giovanni Iacca, Alois Knoll:
Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation. 3-18 - Didrik Spanne Reilstad, Kai Olav Ellefsen:
Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution. 19-35 - Corentin Léger, Gautier Hamon
Evolving Reservoirs for Meta Reinforcement Learning. 36-60 - Atanu Mazumdar
Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control. 61-75 - Gabriel Cortês
Towards Physical Plausibility in Neuroevolution Systems. 76-90 - Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
Leveraging More of Biology in Evolutionary Reinforcement Learning. 91-114 - Angus Kenny
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. 115-129 - Emilio Bernal-Zubieta
DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm. 130-146 - Luana Clare
A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks. 147-162 - Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Robust Neural Architecture Search Using Differential Evolution for Medical Images. 163-179 - Cosijopii Garcia-Garcia
Progressive Self-supervised Multi-objective NAS for Image Classification. 180-195 - Qinyu Wang, Ying Bi
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. 196-211 - Jill Baumann, Oliver Kramer:
Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments. 212-224 - Harsh Bandhey
Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification. 225-239 - Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque:
An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation. 240-255 - David Pätzel
Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners. 256-272
Machine Learning and AI in Digital Healthcare and Personalized Medicine
- Michail-Antisthenis I. Tsompanas
Incremental Growth on Compositional Pattern Producing Networks Based Optimization of Biohybrid Actuators. 275-289
Problem Landscape Analysis for Efficient Optimization
- Johannes J. Pienaar, Anna S. Bosman
Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling. 293-309 - Andrejaana Andova
Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack. 310-325 - Pavel Krömer
On the Latent Structure of the bbob-biobj Test Suite. 326-341
Soft Computing Applied to Games
- Tyler Cowan, Brian J. Ross:
Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. 345-360 - Marshall Joseph, Brian J. Ross:
Using Evolution and Deep Learning to Generate Diverse Intelligent Agents. 361-375 - Amani Sagri, Tristan Cazenave, Jérôme Arjonilla
Vision Transformers for Computer Go. 376-388
Surrogate-Assisted Evolutionary Optimisation
- Tinkle Chugh
Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation. 391-406
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