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

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Robust Neural Architecture Search Using Differential Evolution for?Medical Images 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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Genetic Programming with?Aggregate Channel Features for?Flower Localization Using Limited Training Dalgorithm and YOLOv8 demonstrate ACFGP’s superior performance. Further analysis highlights the effectiveness of the aggregate channel features generated by ACFGP programs, demonstrating the superiority of ACFGP in addressing challenging flower localization tasks.

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0302-9743 y Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP..The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have b

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Encyclopedia of Engineering Geologyverage additional bio-inspired elements. Furthermore, we pinpoint research directions in the field with the largest potential to yield impactful outcomes and discuss classes of problems that could benefit the most from such research.

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Cultivating Diversity: A Comparison of?Diversity Objectives in?Neuroevolution weights and structure of artificial neural networks. With evolutionary algorithms often failing to produce the same level of diversity as biological evolution, explicitly . with additional optimization objectives has emerged as a successful approach. However, there is a lack of knowledge regarding