Initial release of Lightweight Genetic Algorithm (version 1.0.1)

This release introduces a Python package that provides an intuitive, flexible, and efficient implementation of genetic algorithms. It supports numerical and categorical genes, multiple crossover and mutation methods, diversity-enhanced selection, customizable distance measures, and multiprocessing for parallel fitness evaluations.

Version 1.0.1 accompanies the submission of our preprint to arXiv, detailing this package's methodologies, applications and performance.