A comprehensive Python toolkit for solving NP-complete optimization problems, featuring multiple algorithmic approaches from exact methods to metaheuristics. Originally developed during graduate ...

Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...

Abstract: The Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem with applications in logistics, transportation, and network design. Traditional approaches, ...

To explore the value of minimum distance that all vehicles travel in each time of route planning. (The type of the objective function can be something other than distance if one wish, such as time, ...