紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Applications of evolutionary computation/ edited by Stephen Smith, João Correia, Christian Cintrano. |
其他題名: |
27th European Conference, EvoApplications 2024, held as part of Evostar 2024, Aberystwyth, UK, April 3-5, 2024 : proceedings. |
其他題名: |
EvoApplications 2024 |
其他作者: |
Smith, Stephen. |
團體作者: |
EvoApplications (Conference) |
出版者: |
Cham :Springer Nature Switzerland : : 2024., |
面頁冊數: |
xxi, 409 p. :ill., digital ;24 cm. |
內容註: |
Evolutionary 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-Objective Optimisation. |
Contained By: |
Springer Nature eBook |
標題: |
Evolutionary computation - Congresses. - |
電子資源: |
https://doi.org/10.1007/978-3-031-56855-8 |
ISBN: |
9783031568558 |