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.
@article{arxiv.2009.00363,
title = {A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem},
author = {Kun Xiao and Junqi Lu and Ying Nie and Lan Ma and Xiangke Wang and Guohui Wang},
journal= {arXiv preprint arXiv:2009.00363},
year = {2020}
}