Artificial Evolution

15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 ¿ November 2, 2022, Revised Selected Papers
Herausgegeben:Legrand, Pierrick; Liefooghe, Arnaud; Keedwell, Edward; Lepagnot, Julien; Idoumghar, Lhassane; Monmarché, Nicolas; Lutton, Evelyne

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14091
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-42615-5
• 1st ed. 2023
• Seitenzahl: 236
• Erscheinungstermin: 1. September 2023
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 365g
• ISBN-13: 9783031426155
• ISBN-10: 3031426150
• Artikelnr.: 68446732

Inhaltsangabe

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.