This valuable study identifies a novel regulator of stress-induced gene quiescence in C. elegans: the multi-Zinc-finger protein ZNF-236. The work provides evidence for an active mechanism that ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more ...

This work aims at developing a genetic algorithm (GA) to pursue the optimization of hybrid laminated composite structures. Fiber orientation (predefined ply angles), material (glass-epoxy or ...

The Florida Python Challenge is arguably the most well-known and well-attended snake hunt in the country. And according to the results released Wednesday, the 2025 Challenge that took place in July ...

Abstract: This paper deals with genetic algorithm implementation in Python. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. In ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...