论文标题
扩展团队导向问题的多UAV任务分配的基准
A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem
论文作者
论文摘要
为了评估不同的算法，提出了用于多UAV任务分配的基准。为多种UAV任务分配问题建立了扩展的定向启动问题。实施了三种智能算法，即遗传算法，蚂蚁菌落优化和粒子群优化以解决问题。进行了一系列具有不同设置的实验，以评估三种算法。建模的问题和评估结果构成了基准，可用于评估用于多UAV任务分配问题的其他算法。
A benchmark for multi-UAV task assignment is presented in order to evaluate different algorithms. An extended Team Orienteering Problem is modeled for a kind of multi-UAV task assignment problem. Three intelligent algorithms, i.e., Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization are implemented to solve the problem. A series of experiments with different settings are conducted to evaluate three algorithms. The modeled problem and the evaluation results constitute a benchmark, which can be used to evaluate other algorithms used for multi-UAV task assignment problems.
