Artificial Life and Evolutionary Computation

¿Algorithms for complex systems.- Energy consumption of evolutionary algorithms in JavaScript.- A Tabu Search Algorithm for the Map Labeling Problem.- Detection and Classification of Risks from Radar Data.- Capturing Emerging Complexity in Lenia.- On the detection of significant pairwise interactions in complex systems.- Biologically inspired models.- The properties of pseudo-attractors in random Boolean networks.- Analysing the expressiveness of metabolic networks representations.- scFBApy: a Python framework for super-network Flux Balance Analysis.- Semantic Information as a Measure of Synthetic Cells' Knowledge of the Environment.- General Lines, Routes and Perspectives of Wetware Embodied AI. From its Organizational Bases to a Glimpse on Social Chemical Robotics.- A proposed mechanism for in vivo programming transmembrane receptors.- Complex chemical systems.- Kauffman Model with Spatially Separated Ligation and Cleavage Reactions.- Percolation Breakdown in Binary and Ternary Monodisperse and Polydisperse Systems of Spherical Particles.- Adaptation and swarms.- Entangled Gondolas. Design of Multi-Layer Networks of Quantum-Driven Robotic Swarms.- Generalizations of evolved decision-making mechanisms in swarm collective perception.- An investigation of graceful degradation in Boolean network robots subject to onlineadaptation.- Blockchain-Empowered PSO for Scalable Swarm Robotics.-GP/PSO-based embedding of 1-D signals in an auto-encoder fashion.- Learning.- Local delay plasticity supports generalized learning in spiking neural networks.- Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach.- Medicine.- Clustering Trajectories to study Diabetic Kidney Disease.- Multi-Classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning.- Exploiting the potential of Bayesian networks in deriving new insight into Diabetic Kidney Disease (DKD).- A genetic algorithm for feature selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.- Social systems.- Learning whether to be informed in an agent-based evolutionary market model.- Heterogeneous mean-field analysis of best-of-n decision making in networks with zealots.- Does `community detection analysis' find real communities? A statistical evaluationbased on complex networks methods.- Self-loops in social networks: behavior of eigenvector centrality.- Evolutionary Story Sifting over the Log of a Social Simulation.- Evolution of Attraction for Cooperation.