遗传算法
计算机科学
适应度函数
运动规划
数学优化
功能(生物学)
路径(计算)
趋同(经济学)
层次分析法
灾区
实时计算
模拟
运筹学
工程类
人工智能
机器学习
数学
计算机网络
地理
进化生物学
生物
经济增长
机器人
气象学
经济
作者
Haoting Liu,Jianyue Ge,Yuan Wang,Jiacheng Li,Kai Ding,Zhiqiang Zhang,Zhenhui Guo,Wei Li,Jinhui Lan
出处
期刊:Actuators
[MDPI AG]
日期:2021-12-28
卷期号:11 (1): 4-4
被引量:39
摘要
An optimal mission assignment and path planning method of multiple unmanned aerial vehicles (UAVs) for disaster rescue is proposed. In this application, the UAVs include the drug delivery UAV, image collection UAV, and communication relay UAV. When implementing the modeling and simulation, first, three threat sources are built: the weather threat source, transmission tower threat source, and upland threat source. Second, a cost-revenue function is constructed. The flight distance, oil consumption, function descriptions of UAV, and threat source factors above are considered. The analytic hierarchy process (AHP) method is utilized to estimate the weights of cost-revenue function. Third, an adaptive genetic algorithm (AGA) is designed to solve the mission allocation task. A fitness function which considers the current and maximum iteration numbers is proposed to improve the AGA convergence performance. Finally, an optimal path plan between the neighboring mission points is computed by an improved artificial bee colony (IABC) method. A balanced searching strategy is developed to modify the IABC computational effect. Extensive simulation experiments have shown the effectiveness of our method.
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