Titlebook: Applications of Evolutionary Computation; 27th European Confer Stephen Smith,João Correia,Christian Cintrano Conference proceedings 2024 Th

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Jon-Philip Imbrenda,Michael W. Smith . and find clear relationships between problem characteristics and the effect of different diversity objectives – suggesting that there is much to be gained from adapting diversity objectives to the specific problem being solved.

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https://doi.org/10.1007/978-1-4020-6359-6aviour and evolutionary trajectories, under different search conditions. The effects of altering the population selection mechanism and reducing population size are explored, highlighting the enhanced understanding these methods provide in automated machine learning pipeline optimization.

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https://doi.org/10.1007/978-1-4020-6359-6 is used as a search algorithm. Furthermore, we utilize an attention-based search space consisting of five different attention layers and sixteen convolution and pooling operations. Experiments on multiple MedMNIST datasets show that the proposed approach has achieved better results than deep learning architectures and a robust NAS approach.

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A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Searchaviour and evolutionary trajectories, under different search conditions. The effects of altering the population selection mechanism and reducing population size are explored, highlighting the enhanced understanding these methods provide in automated machine learning pipeline optimization.