Site selection and task allocation of UAV(unmanned aerial vehicle)freight take-off and landing points at the leading end of the logistics chain in the complex environment of mountainous areas were studied.First of all,aiming at minmum cost of con-struction and maximum satisfaction of transportation,the performance of UAV and no-fly airspace were considered,then with multiple constraints and objective functions,the model of site selection and task allocation was constructed.The combinatorial algorithms of ge-netic and simulated annealing algorithm was adopted.First,the initial feasible solution adopted in annealing algorithm was obtained as optimal feasible solution by the genetic algorithm.What is shown is that the expected effect is achieved by the constructed multi-con-straint model,and excellent applicability is shown when the algorithm is adopted to such problems.
关键词
无人机货运/多约束条件/多目标函数/起降点选址/组合算法
Key words
drone freight/multiple constraints/multi-objective function/site selection of take-off and landing points/combinatorial algorithms
维普
万方数据