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Ergebnis der Suche nach: "Machine Learning"
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Link zu diesem Datensatz | https://d-nb.info/1363875000 |
Art des Inhalts | Konferenzschrift |
Titel | Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson |
Person(en) |
García-Sánchez, Pablo (Herausgeber) Hart, Emma (Herausgeber) Thomson, Sarah L. (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XXII, 560 p. 160 illus., 136 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-90064-8 Printed edition:: ISBN: 978-3-031-90066-2 |
Inhalt | -- Evolutionary machine learning. -- Social Interpretable Reinforcement Learning. -- Into the Black Box: Mining Variable Importance with XAI. -- Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. -- Generate more than one child in your co-evolutionary semi-supervised learning GAN. -- EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines. -- 30 years of particle swarm optimisation. -- Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems. -- A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. -- An Investigation of Structural Bias in Particle Swarm Optimization. -- GPSO in PTO. -- We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. -- Memetic Variations of Overlapping Swarm Intelligence. -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications. -- Multi-Tree Genetic Programming for Large-scale Dynamic Tugboat Scheduling. -- Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems. -- Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees. -- Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms. -- Measuring energy consumption of BBOB fitness functions. -- Computational Intelligence for Sustainability. -- A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems. -- An innovative approach for managing the water requirements of fig trees using artificial intelligence. -- GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction. -- Improving Fairness in Allocation of Emergency Medical Services using Multi-Objective Evolutionary Optimization. -- A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. -- EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs). -- Evolutionary Bias Identification with Embeddings. -- Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?. -- Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem. -- Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. -- Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. -- Evolutionary Computation in Edge, Fog, and Cloud Computing. -- A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds. -- A Genetic Algorithm-Based Parameter Selection for Communication Efficient Federated Learning. -- Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition. -- Evolving Cellular Automata with Function-Based Conditional Rules for Image Filtering. -- Machine Learning and AI in Digital Healthcare and Personalized Medicine. -- Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms. -- A Symbolic Regression Screening Approach within Peptide Optimisation. -- Estimation of total body fat using symbolic regression and evolutionary algorithms. -- Soft Computing Applied to Games. -- Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop. -- Robust search for the underlying objectives in black-box games with binary outcomes |
Persistent Identifier |
URN: urn:nbn:de:101:1-2504240405263.900953528104 DOI: 10.1007/978-3-031-90065-5 |
URL | https://doi.org/10.1007/978-3-031-90065-5 |
ISBN/Einband/Preis | 978-3-031-90065-5 |
Sprache(n) | Englisch (eng) |
Beziehungen | Lecture Notes in Computer Science ; 15613 |
DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
