首页|Research Data from University of Hildesheim Update Understanding of Machine Lear ning (A Practical and Robust Approach for Solving the Multi-compartment Vehicle Routing Problem Under Demand Uncertainty Using Machine Learning)
Research Data from University of Hildesheim Update Understanding of Machine Lear ning (A Practical and Robust Approach for Solving the Multi-compartment Vehicle Routing Problem Under Demand Uncertainty Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Hildesheim, Germany, b y NewsRx journalists, research stated, “The multi-compartmentvehicle routing pr oblem is an extension of the vehicle routing problem and consists of designing a setof routes to perform the collection or delivery of different product types from customers with minimalcosts. The product types are incompatible with each other and must be transported separately in multiplecompartments.”
HildesheimGermanyEuropeCyborgsEm erging TechnologiesMachine LearningUniversity of Hildesheim
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