Abstract: Genetic algorithms are practical tools for solving complex optimization problems; however, the performance of many existing solutions is often limited by their inability to utilize modern ...

Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...

This repository contains a comparative study of various optimization algorithms for task scheduling in fog computing environments, focusing on energy efficiency, response time, deadline satisfaction, ...

This project presents a comparative study and implementation of control system techniques for regulating the speed of a DC motor. The primary focus is the ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...