首页|Findings from Federico Santa Maria Technical University Yields New Findings on M achine Learning (Selecting Fast Algorithms for the Capacitated Vehicle Routing P roblem With Machine Learning Techniques)
Findings from Federico Santa Maria Technical University Yields New Findings on M achine Learning (Selecting Fast Algorithms for the Capacitated Vehicle Routing P roblem With Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Machine Learning is now available. According to news reporting originatingfrom Valparaiso, Chile, by NewsRx corre spondents, research stated, “We present machine learning (ML)methods for automa tically selecting a ‘best’ performing fast algorithm for the capacitated vehicle routingproblem (CVRP) with unit demands. Algorithm selection is to automatical ly choose among a portfolio ofalgorithms the one that is predicted to work best for a given problem instance, and algorithm configurationis to automatically s elect algorithm’s parameters that are predicted to work best for a given probleminstance.”
ValparaisoChileSouth AmericaAlgori thmsCyborgsEmerging TechnologiesMachine LearningFederico Santa Maria Tec hnical University
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