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Personal research compendium for T.C.H. Lux. Includes codes for nonlinear regression, nearest neighbor calculation, a regular expression engine, a Data storage object, and an interactive plotting library.
Optimizing vehicle routing for efficient delivery of goods to various customer locations while minimizing costs. This project implements algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) using Python and frameworks like Google OR-Tools and the nearest neighbor heuristic, with the latter being used for comparison purposes.
This is a delivery routing simulation application written in Python utilizing PyCharm to address a list of packages with deadlines, delays, dependencies, and other conflicts all needing to be delivered by deadlines and with traveling under a certain mileage threshold. The application utilizes a nearest neighbor algorithm for delivery routing.