Artificial Evolution 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers / [electronic resource] :
edited by Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton.
- 1st ed. 2023.
- XX, 215 p. 60 illus., 30 illus. in color. online resource.
- Lecture Notes in Computer Science, 14091 1611-3349 ; .
- Lecture Notes in Computer Science, 14091 .
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.
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.