LEADER 06088nam 22007695 450 001 9910845482203321 005 20240627181654.0 010 $a3-031-56855-9 024 7 $a10.1007/978-3-031-56855-8 035 $a(CKB)31253054000041 035 $a(DE-He213)978-3-031-56855-8 035 $a(MiAaPQ)EBC31319158 035 $a(Au-PeEL)EBL31319158 035 $a(OCoLC)1427725647 035 $a(MiAaPQ)EBC31574269 035 $a(Au-PeEL)EBL31574269 035 $a(EXLCZ)9931253054000041 100 $a20240323d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Evolutionary Computation $e27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3?5, 2024, Proceedings, Part II /$fedited by Stephen Smith, Joćo Correia, Christian Cintrano 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (XXI, 409 p. 151 illus., 125 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14635 311 $a3-031-56854-0 327 $aEvolutionary 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. 330 $aThe two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3?5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections: applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14635 606 $aComputer science 606 $aComputers 606 $aComputer networks 606 $aComputers, Special purpose 606 $aComputer systems 606 $aComputer science$xMathematics 606 $aTheory of Computation 606 $aComputing Milieux 606 $aComputer Communication Networks 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer System Implementation 606 $aMathematics of Computing 615 0$aComputer science. 615 0$aComputers. 615 0$aComputer networks. 615 0$aComputers, Special purpose. 615 0$aComputer systems. 615 0$aComputer science$xMathematics. 615 14$aTheory of Computation. 615 24$aComputing Milieux. 615 24$aComputer Communication Networks. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer System Implementation. 615 24$aMathematics of Computing. 676 $a004.0151 702 $aSmith$b Stephen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCorreia$b Joćo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCintrano$b Christian$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845482203321 996 $aApplications of Evolutionary Computation$92834163 997 $aUNINA