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 ...

Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...

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 ...

Abstract: With the development of the manufacturing industry towards high quality and customized production, the flexible job shop scheduling problem has become an important issue for optimizing ...

In a breakthrough that will reshape the global manufacturing landscape, nMetric, LLC has unveiled its patented Genetic Algorithm Scheduling Platform, proving that one of industry's most entrenched and ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Matthew Guay It’s hard not to feel scatterbrained in today’s work environment.

Abstract: The agile Earth observation satellite scheduling problem (AEOSSP) has been the subject of more research in recent years. Still, numerous researchers ignore the complex constraints of the ...

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 ...