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E-raamat: Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I

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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 ISuurem pilt
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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.


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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