首页|Findings from National University of Defense Technology Provides New Data on Int elligent Systems (An Iterative Two-phase Optimization Method for Heterogeneous M ulti-drone Routing Problem Considering Differentiated Demands)
Findings from National University of Defense Technology Provides New Data on Int elligent Systems (An Iterative Two-phase Optimization Method for Heterogeneous M ulti-drone Routing Problem Considering Differentiated Demands)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news reporting from Hunan, People’s Republic of China, by NewsRx journalists, research stated, “Owingto lo w cost, high flexibility and delivery efficiency, effectively addressing the cha llenges of ‘last-mile’delivery. While collaborative truck-drone delivery system s have been proposed to overcome limitationssuch as limited battery life and pa yload capacity, they are not well-suited for large and heavy parceldelivery.”
HunanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningNational University of Defense Technolog y
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