计算机工程与应用2025，Vol.61Issue(10)：361-371,11.DOI:10.3778/j.issn.1002-8331.2401-0440
基于ISWO的植保无人机处方作业任务规划
Task Planning of Plant Protection UAV Prescription Operations Based on ISWO
摘要
Abstract
Aiming at the vacancy of task planning method for prescription spraying of plant protection UAV,this paper proposes a task planning method of plant protection UAV based on improved spider wasp optimizer(ISWO).On the basis of the pre-generated full coverage path,taking the battery mileage and spraying capacity as constraints,considering the variable rate spraying,the task planning model is established with the goal of the shortest overall time of UAV task and the minimum total distance of non-operation distance.Moreover,the model is solved by using the ISWO algorithm,which integrates the learning factors of sine and cosine adaptive contraction strategies with the greedy mean idea for popu-lation initialization.Through the effectiveness analysis and case analysis of the algorithm,compared with the maximum operation distance mode,this method can significantly reduce the overall operation time and non-operation distance length.Compared to the four heuristic algorithms,whale optimization algorithm(WOA),grey wolf optimizer(GWO),particle swarm optimization(PSO),and spider web optimizer(SWO),the ISWO algorithm exhibits exceptional perfor-mance in optimization and maintains robust model stability.It provides a significant reference for the precision operation planning of plant protection UAV.关键词
植保无人机/处方施药/蛛蜂算法/任务规划Key words
plant protection UAV/prescription spraying/spider wasp optimizer/task planning分类
计算机与自动化引用本文复制引用
漆海霞,周子森,刘英建,冯发生,江锦卓..基于ISWO的植保无人机处方作业任务规划[J].计算机工程与应用,2025,61(10):361-371,11.基金项目
广东省重点领域"精准农业"研发计划(2019020214003) （2019020214003）
国家特色重点学科建设项目(2023B10564003). （2023B10564003）
