Optimization algorithms constitute a foundational pillar of computational science, encompassing a spectrum of methods designed to locate minima or maxima of objective functions under a variety of ...

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 ...

Yet another package for lightweight applications of GA in Python. This package provides utilities for implementation of Genetic Algorithm (Holland 1962) for multivariate, multimodal optimization ...

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to argue for the intellectual superiority of white people. Credit...Ben Denzer ...

The precision of projectile launching mechanisms, which utilize counter-rotating friction wheels, is critical for system effec-tiveness. This study introduces a hybrid approach combining multi-physics ...

Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Abstract: We explore the flexibility of a generalized version of finite-context models (FCMs) to identify parameter configurations that are well-suited to specific data classes. This optimization is ...