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 algorithms and software tools for solving large-scale NP-hard MILP (mixed-integer linear programming) problems are analyzed, specifically focusing on the modeling of electric power ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

Google's second generation of its AI mathematics system combines a language model with a symbolic engine to solve complex geometry problems better than International Mathematical Olympiad (IMO) gold ...

A recent study published in the Journal of Sleep Research provides evidence that sleep, particularly rapid eye movement (REM) sleep, enhances problem-solving ability through analogical transfer. The ...

Like most engineers, I find myself drawn to complex puzzles. And the more complicated the problem, the more intrigued I am to solve it. This love for problem-solving was nurtured at a very young age.

Vehicle routing problems are a class of NP-hard combinatorial optimization problems which attract a lot of attention, as they have many practical applications. In recent years there have been new ...