Abstract: With the development of the national economy, a large number of small and medium-sized enterprises have rapidly expanded in scale, and their internal structures have become increasingly ...

Python has emerged as one of the most popular programming languages for machine learning (ML) projects, thanks to its simplicity, readability, and the robust ecosystem of libraries and frameworks.

What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...

This repository contains my data mining laboratory works from the 4th course of Computer Science in KhNU by the name of V. N. Karazin.

Implementation of a genetic algorithm to solve the Knapsack problem with a capacity C and a given set of N objects. The genetic fitness function sums up the profits of the objects in the Knapsack.

This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master-Slave genetic algorithm, the Coarse ...

Genetic algorithms (GA) and machine learning (ML) have a long history of development and use in chemistry. Recent algorithmic and computational advances, however, have brought these methods to the ...

Abstract: The net present value (NPV)-based resource constrained project scheduling problem (RCPSP) is a well-known scheduling problem in many industries, such as construction, software development, ...