Abstract: The k-means algorithm is one of the most widely used methods for data clustering. However, traditional k-means can only be applied in the original feature space, limited to handle nonlinear ...
Abstract: This paper focuses on addressing transportation issues within the retail supply chain, considering complex constraints such as continuous pick-up and delivery, vehicle capacity limitations, ...
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