UAV Route Planning Based on Dual Populations Genetic Ant Colony Algorithm

DOI

10.2991/icimm-15.2015.218How to use a DOI?

Keywords

UAV; Ant Colony Algorithm; Route Planning; Dual population

Abstract

Based on the analysis of UAV Mission requirements and tactical characteristics, this paper attempts to establish a Route Planning model which includes comprehensive threats model, performance constraints model and mission effectiveness model. A dual population genetic ant colony algorithm is designed, with which can be independently and simultaneously searched. In the iterative process, the algorithm adjusts adaptively the volatile coefficient of the pheromone which is limited within a certain range. These measures can prevent local optimum and stagnation in the search. The application of improved ant colony algorithm in route planning of UAV is verified for the feasibility and effectiveness of the method by way of simulation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengxiang Qian
AU  - Guocheng Wang
AU  - Jingen Wang
PY  - 2015/07
DA  - 2015/07
TI  - UAV Route Planning Based on Dual Populations Genetic Ant Colony Algorithm
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1215
EP  - 1221
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.218
DO  - 10.2991/icimm-15.2015.218
ID  - Qian2015/07
ER  -