火力与指挥控制2023，Vol.48Issue(11)：32-39,8.DOI:10.3969/j.issn.1002-0640.2023.11.005
基于多模态多目标进化算法的无人机三维路径规划
Three-dimensional Path Planning of UAV Based on Multimodal Multi-objective Evolutionary Algorithm
摘要
Abstract
The three-dimensional path planning of reconnaissance unmanned aerial vehicle(UAV)should not only consider the flight endurance,but also consider the safety.For complex reconnaissance environments,the three-dimensional flight environment of the reconnaissance UAVis simulated via the terrain and threat modeling.Moreover,the fuel consumption and flight threat are considered as two optimization objectives.Finally,the multimodal multi-objective evolutionary algorithm is used to solve this problem.The experimental results show that the proposed algorithm can provide a variety of effective decision supports when the energy consumption and the risk level are conflicting.Additionally,compared with the existing studies,the proposed algorithm can provide more equivalent schemes for decision-makers to make the most suitable decision based on the practical environment when the energy consumption and the risk level are the same.关键词
无人机/三维路径规划/多模态多目标优化/多目标优化/遗传算法/进化计算Key words
unmanned aerial vehicle/3D path planning/multimodal multi-objective optimization/multi-objective optimization/genetic algorithm/evolutionary computation分类
信息技术与安全科学引用本文复制引用
陈先亮,黄元君,范勤勤..基于多模态多目标进化算法的无人机三维路径规划[J].火力与指挥控制,2023,48(11):32-39,8.基金项目
教育部人文社会科学研究青年项目(20YJCZHO52) （20YJCZHO52）
国家自然科学基金山东联合基金(U2006228) （U2006228）
国家社科基金(18BGL103) （18BGL103）
国家自然科学基金(61603244,71904116) （61603244,71904116）
上海市科技创新行动计划(19DZ1209600,18DZ1201500) （19DZ1209600,18DZ1201500）
