首页|University of Andres Bello Researcher Describes Advances in Machine Learning (Sm art Delivery Assignment through Machine Learning and the Hungarian Algorithm)
University of Andres Bello Researcher Describes Advances in Machine Learning (Sm art Delivery Assignment through Machine Learning and the Hungarian Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Santiago, Chile, by NewsRx c orrespondents, research stated, “Intelligent transportation and advanced mobilit y techniques focus on helping operators to efficiently manage navigation tasks i n smart cities, enhancing cost efficiency, increasing security, and reducing cos ts.” Financial supporters for this research include Anid. Our news reporters obtained a quote from the research from University of Andres Bello: “Although this field has seen significant advances in developing large-sc ale monitoring of smart cities, several challenges persist concerning the practi cal assignment of delivery personnel to customer orders. To address this issue, we propose an architecture to optimize the task assignment problem for delivery personnel. We propose the use of different cost functions obtained with determin istic and machine learning techniques. In particular, we compared the performanc e of linear and polynomial regression methods to construct different cost functi ons represented by matrices with orders and delivery people information. Then, w e applied the Hungarian optimization algorithm to solve the assignment problem, which optimally assigns delivery personnel and orders. The results demonstrate t hat when used to estimate distance information, linear regression can reduce est imation errors by up to 568.52 km (1.51%) for our dataset compared to other methods.”
University of Andres BelloSantiagoCh ileSouth AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningMathematicsPolynomial
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