首页|Studies from University of Illinois Update Current Data on Machine Learning (Mac hine Learning and Multi-objective Optimization Methodology for Planning Construc tion Phases of Airport Expansion Projects)
Studies from University of Illinois Update Current Data on Machine Learning (Mac hine Learning and Multi-objective Optimization Methodology for Planning Construc tion Phases of Airport Expansion Projects)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromUrbana, Illinois, by NewsRx corre spondents, research stated, “This study presents the development of aninnovativ e methodology to optimize phasing plans of airport expansion projects to minimiz e construction-related disruptions in airport operations and project constructi on cost. This methodology integrates amachine learning model to predict the imp act of generated phasing plans on flights ground movementtime during constructi on, and a multi -objective genetic algorithms optimization model to identify optimal construction phasing plans for airport expansion projects.”
UrbanaIllinoisUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Illinois
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