Abstract: The growing complexity of modern network systems has increased the need for efficient multi-objective routing (MOR) algorithms. However, existing MOR methods face significant challenges, ...

How complex neural circuits are genetically designed and wired is a fundamental question in neuroscience. Scientists have ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Phylogenetic analysis encompasses the reconstruction of evolutionary relationships among organisms or genes, typically represented as branching diagrams known as phylogenetic trees. Modern workflows ...

Abstract: Hyperparameter optimization on machine learning models is crucial for their correct refinement. For complex big models such as deep learning (DL) models, in which a single training model is ...

Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...