Fr. 89.00

Artificial Evolution - 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers

Inglese · Tascabile

Spedizione di solito entro 1 a 2 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni

This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31-November 2, 2022.
The 15 full papers were carefully reviewed and selected from 18 submissions. The papers cover a wide range of topics in the field of artificial evolution, including, but not limited to: evolutionary computation, evolutionary optimization, coevolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations.

Sommario

On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation.- HyTEA: Hybrid Tree Evolutionary Algorithm.- A Game Theoretic Decision Tree for Binary Classification.- Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning.- Neural Network-based Virtual Analog Modeling.- Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study.- Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem.- Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm Intelligence.- One-Class Ant-Miner: Selection of Majority Class Rules for Binary Rule-based Classification.- Towards a Many-Objective Optimiser for University Course Timetabling.- Empirical Investigation of MOEAs for Multi-objective Design of Experiments.- Evolutionary Continuous Optimization of Hybrid Gene Regulatory Networks.- Designing Attention based Convolutional Neural Network (CNN) Architectures for Medical Image Classification using Genetic Algorithm based on Variable Length-encoding Scheme.- A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude.- An Elitist Non-dominated Heuristic Resolution for the Dynamic Asset Protection Problem.

Dettagli sul prodotto

Con la collaborazione di Lhassane Idoumghar (Editore), Edward Keedwell (Editore), Edward Keedwell et al (Editore), Pierrick Legrand (Editore), Julien Lepagnot (Editore), Arnaud Liefooghe (Editore), Evelyne Lutton (Editore), Nicolas Monmarché (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 11.11.2023
 
EAN 9783031426155
ISBN 978-3-0-3142615-5
Pagine 215
Dimensioni 155 mm x 12 mm x 235 mm
Illustrazioni XX, 215 p. 60 illus., 30 illus. in color.
Serie Lecture Notes in Computer Science
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica

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