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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1398571873
Titel Applications of Evolutionary Computation : 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8–10, 2026, Proceedings, Part I / edited by Pablo García-Sánchez, Josefa Díaz Álvarez, Aidan Murphy
Person(en) García-Sánchez, Pablo (Herausgeber)
Díaz Álvarez, Josefa (Herausgeber)
Murphy, Aidan (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XXII, 554 p. 166 illus., 153 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-23603-6
Printed edition:: ISBN: 978-3-032-23605-0
Inhalt -- Applications of Evolutionary Computation -- CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem. -- Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover. -- EvoTADASHI: Genetic Programming for High-Performance Code Optimization. -- Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness. -- Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights. -- Evolutionary Design of Specialized Image Compression Operators. -- Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems. -- A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism. -- Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices. -- Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots. -- Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection. -- On the Impact of Conditional Distribution in Discovered Differential Equation Ensembles. -- From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System. -- On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach. -- Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction. -- A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling. -- Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study. -- Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks. -- Optimizing Transformers: Metaheuristics for Head Attention Pruning. -- Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators. -- EuroGP & EvoApps Special Joint Track on Evolutionary Machine -- Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model. -- Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning. -- Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks. -- Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction. -- On Efficient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata. -- PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization. -- Exploring the Impact of Fairness-Aware Criteria in AutoML. -- Learning to Search: A Reinforcement Learning Agent for Global Optimization. -- TensorRankNEAT: Fast Preference Learning with Neuroevolution using Tensorization and GPUs. -- Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators. -- Multi-Objective Optimization for Synthetic-to-Real Style Transfer. -- Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases. -- Bioinspired Algorithms for Green Computing and Sustainable Complex Systems -- Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Persistent Identifier URN: urn:nbn:de:101:1-2605090404109.409742334652
DOI: 10.1007/978-3-032-23604-3
URL https://doi.org/10.1007/978-3-032-23604-3
ISBN/Einband/Preis 978-3-032-23604-3
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 16524
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