Abstract: Model Predictive Control is a powerful technique for dynamic optimization in various industrial applications. In many such control applications, some variables are binary in nature, i.e., ...

Everyone has an area to improve upon, whether that's getting a better job, focusing on healthier habits or completing a college degree. But it can be easy to get thrown off course as you try to ...

This paper addresses the challenge of covering three-dimensional solids with spheres of varying radii, allowing for partial overlaps, which is particularly relevant for applications such as gamma ...

Scott Nevil is an experienced writer and editor with a demonstrated history of publishing content for Investopedia. He goes in-depth to create informative and actionable content around monetary policy ...

As the MDGs era comes to a conclusion with the end of the year, 2016 ushers in the official launch of the bold and transformative 2030 Agenda for Sustainable Development adopted by world leaders last ...

Abstract: Prediction and management of ship resistance in realistic sea conditions can play a significant role in reducing fuel consumption and carbon emissions. It usually relies on physical model ...

QUANTUM_OPTIMIZATION_BENCHMARKS/ - Market_Share/: Market share optimization problem - market_share_classical_results.ipynb: Classical results for the Market Share problem - market_share.ipynb: Code ...

This page contains the latest information on traffic and travel in Nottingham and Nottinghamshire including the latest from the M1, A52 and A453. Keep up to date with the latest news from our roads by ...

This project solves the classic Assignment Problem using the Hungarian Algorithm (a.k.a. Munkres algorithm), which is designed to minimize the total cost of assigning agents (e.g., employees, machines ...