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Applications of Evolutionary Computation 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I
Title
Applications of Evolutionary Computation [electronic resource] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I / edited by Stephen Smith, João Correia, Christian Cintrano.
ISBN
9783031568527
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XXI, 449 p.) 153 illus., 132 illus. in color.
Local Notes
Access is available to the Yale community.
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Summary
The 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.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 10, 2024
Series
Lecture Notes in Computer Science, 14634
Contents
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.
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