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arXiv · 2009.00363

A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem

Kun Xiao·Junqi Lu·Ying Nie·Lan Ma·Xiangke Wang·Guohui Wang
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Abstract

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.

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Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang. 2020-09-01. A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem. https://arxiv.org/abs/2009.00363

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