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