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OverviewFull Product DetailsAuthor: Stephen Smith , João Correia , Christian CintranoPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2024 Volume: 14635 ISBN: 9783031568541ISBN 10: 3031568540 Pages: 409 Publication Date: 16 April 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsEvolutionary Machine Learning: Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation.- Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution.- Evolving Reservoirs for Meta Reinforcement Learning.- Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control.- Towards Physical Plausibility in Neuroevolution Systems.- Leveraging More of Biology in Evolutionary Reinforcement Learning.- A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour.- DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm.- A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks.- Robust Neural Architecture Search using Differential Evolution for Medical Images.- Progressive Self-Supervised Multi-Objective NAS for Image Classification.- Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data.- Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments.- Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification.- An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation.- Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners.- Machine Learning and AI in Digital Healthcare and Personalized Medicine: Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.- Problem Landscape Analysis for Efficient Optimization: Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling.- Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack.- On the Latent Structure of the bbob-biobj Test Suite.- Soft Computing applied to Games.- Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains.- Using Evolution and Deep Learning to Generate Diverse Intelligent Agents.- Vision Transformers for Computer Go.- Surrogate-Assisted Evolutionary Optimisation: Integrating Bayesian and Evolutionary Approaches for Multi-ObjectiveOptimisation.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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