Abstract: The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

Abstract: The product delivery process is a set of steps to transport a product of an origin to a delivery point. Nowadays, there are different platforms or software based on classical algorithms for ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

An exhilarating journey of 100 Days, 100 Programs challenge, where I explore various programming languages and frameworks to build a diverse collection of practical applications. Deals with the ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...

How the e πi processor trivializes NP-hard problems. How to incorporate and program the eπi processor. A novel processor has been introduced by Indlewylde Corporation that’s said to provide phenomenal ...