Motivation My PhD research involves developing algorithms for Vehicle Routing Problems. Since these problems are NP-hard, I dedicate most of my time to developing complex heuristics and metaheuristics, as exact mathematical solvers are often impractical for large-scale, real-world operations. Typically, a heuristic is tailored to a single variant of the routing problem. Consequently, changing the constraints even marginally can render the algorithm useless, requiring a comple

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One of the major problems with developing neural net models is that it will always be learning. Before freaking out on the above...

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