Abstract: Driven by an unprecedented surge in freight transportation and city logistics, this paper tackles a practical variant of the famous Vehicle Routing Problem that jointly accounts for the ...
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...
Abstract: The Aircraft Landing Problem (ALP) involves optimizing the scheduling of flight arrivals and departures while simultaneously managing airport resources to maximize flight utilization, ...
(c) Daniel Strano and the Qrack contributors 2025. All rights reserved. Based on a combination of the TFIM-inspired MAXCUT solver and another technique for finding ...
A comprehensive Python implementation comparing multiple metaheuristic algorithms for solving the Vehicle Routing Problem with Time Windows (VRPTW). It provides a detailed comparison of four ...
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