Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I: Lecture Notes in Computer Science, cartea 14634
Editat de Stephen Smith, João Correia, Christian Cintranoen Limba Engleză Paperback – 4 mai 2024
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.
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| Paperback (2) | 517.64 lei 6-8 săpt. | |
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| Springer Nature Switzerland – 4 mai 2024 | 519.39 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783031568510
ISBN-10: 3031568516
Pagini: 449
Ilustrații: XXI, 449 p. 153 illus., 132 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.65 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031568516
Pagini: 449
Ilustrații: XXI, 449 p. 153 illus., 132 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.65 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Applications of Evolutionary Computation: Finding Near-Optimal Portfolios With Quality-Diversity.- Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Efficiency.- Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight.- Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution.- GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks.- Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language.- On the Utility of Probing Trajectories for Algorithm-Selection.- Nature-inspired Portfolio Diversification using Ant Brood Clustering.- Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks.-Evolving Artificial Neural Networks for Simulating Fish Social Interactions.- Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem.- A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control.- Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments.- Finding sets of solutions for temporal uncertain problems.- Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation.- Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation.- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks.- Iterated Beam Search for Wildland Fire Suppression.- A New Angle: On Evolving Rotation Symmetric Boolean Functions.- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications: On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.- A Simple Statistical Test Against Origin-Biased Metaheuristics.- Computational Intelligence for Sustainability: Optimizing Urban Infrastructure for E-Scooter Mobility.- Evolutionary Computation in Edge, Fog, and Cloud Computing: Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks.- Evolutionary Computation meets Stream Processing.- Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition: Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.- Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach.- 3D Motion Analysis in MRI using a Multi-objective Evolutionary k -means Clustering.