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

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Artificial Evolution: 15th International Conference, Evolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected PapersSuurem pilt
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This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31November 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.
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.
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