This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...
Abstract: Deep reinforcement learning (DRL) methods have achieved remarkable success in solving static traveling salesman problems (TSP). However, dynamic TSP (DTSP), with the random appearance of new ...
The governor held a press conference on Monday where he highlighted the success of a public-private partnership aimed at removing Pythons from Florida's Everglades.Gov. Ron DeSantis shared the success ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Abstract: The Multiple Traveling Salesman Problem (MTSP), an extension of the Traveling Salesman Problem (TSP), involves assigning multiple salesmen to visit a series of cities and optimizing the ...
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