Artificial Evolution

Nyhet

16th International Conference, Évolution Artificielle, EA 2024, Bordeaux, France, October 29–31, 2024, Revised Selected Papers

Häftad, Engelska, 2025

Av Pierrick Legrand, Arnaud Liefooghe, Julien Lepagnot, Nicolas Monmarché, Lhassane Idoumghar, Denis Pallez, Patrick Siarry, Evelyne Lutton

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This book constitutes the refereed post-conference proceedings of the 16th International Conference on Artificial Evolution, EA 2024, held in Bordeaux, France, during October 29–31, 2024.The 16 full papers were carefully reviewed and selected from 30 submissions. The papers cover a wide range of topics in the field of artificial evolution, including Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World industry, biosciences, Machine Learning and hybridization with other soft computing techniques.

Produktinformation

Utgivningsdatum2025-11-16
Mått155 x 235 x 15 mm
Vikt394 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor240
FörlagSpringer Nature Switzerland AG
ISBN9783032079978

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Beräkning och matematisk analys inom Naturvetenskap och teknik
Hårdvara inom Data och it
Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it

.- GRASP-based memetic algorithm for Multi-period technician routingproblem with mandatory assigned tasks and selective tasks..- Investigation of Structures for Routing Rules Designed by GeneticProgramming for the Electric Vehicle Routing Problem,..- Optimizing Scheduling for Energy Sales in Public Stations: A RevenueManagement Perspective..- A study of an ant-based algorithm to model cyclist behavior inbicycle-friendly cities..- Paving the way towards evolutionary machine teaching: an applicationto 4-part harmony..- Scalable Local Optima Networks for Continuous Search Spaces..- Comparing Quantum Annealer and Metaheuristic Methods to Solve theSteiner Tree Problem..- Classi cation vs Regression Models in a Decision Tree-based InteractiveEvolutionary Multi-objective Optimization Algorithm..- Tackling Long-Range Dependencies in Dynamic Range CompressionModeling via Deep Learning..- Optimizing Reservoir Computing with Genetic Algorithm forHigh-Dimensional SARS-CoV-2 Hospitalization Forecasting: Impacts ofGenetic Algorithm Hyperparameters on Feature Selection andReservoir Computing Hyperparameter Tuning..- Can Mutations Replace Local Search? Studying the E ect of RepeatedGenetic Programming Operators in the Unrelated MachinesEnvironment..- Optimizing the Viability of interacting systems with EvolutionaryAlgorithms..- Single-objective constrained optimization for Gene RegulatoryNetworks Modeling..- Symbolic Regression of Con dence Intervals for Conformal Prediction..- A New Step Size Update Strategy for CMA-ES in Multi-objectiveOptimisation..- UMDA with random a ne maps.