UAV route planning using multiobjective ant colony system

Wang Zhenhua; Zhang Weiguo; Shi Jingping; Han Ying

doi:10.1109/ICCIS.2008.4670944

UAV route planning using multiobjective ant colony system

Wang Zhenhua, Zhang Weiguo, Shi Jingping, Han Ying

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

34 Scopus citations

Abstract

In this article we present an application of the Multiobjective Ant Colony System (MACS) algorithm to the Uninhabited Aerial Vehicles (UAVs) route planning problem based on VORONOI diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational results show the efficiency of this method.

Original language	English
Title of host publication	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Publisher	IEEE Computer Society
Pages	797-800
Number of pages	4
ISBN (Print)	9781424416745
DOIs	https://doi.org/10.1109/ICCIS.2008.4670944
State	Published - 2008
Event	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 - Chengdu, China Duration: 21 Sep 2008 → 24 Sep 2008

Publication series

Name	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008

Conference

Conference	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Country/Territory	China
City	Chengdu
Period	21/09/08 → 24/09/08

Keywords

MACS
Pareto front UAV route planning
VO-RONOI diagram

Access to Document

10.1109/ICCIS.2008.4670944

Cite this

Zhenhua, W., Weiguo, Z., Jingping, S., & Ying, H. (2008). UAV route planning using multiobjective ant colony system. In 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 (pp. 797-800). Article 4670944 (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008). IEEE Computer Society. https://doi.org/10.1109/ICCIS.2008.4670944

@inproceedings{049ccb0ce2154249b58ad18d2a7b43db,

title = "UAV route planning using multiobjective ant colony system",

abstract = "In this article we present an application of the Multiobjective Ant Colony System (MACS) algorithm to the Uninhabited Aerial Vehicles (UAVs) route planning problem based on VORONOI diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational results show the efficiency of this method.",

keywords = "MACS, Pareto front UAV route planning, VO-RONOI diagram",

author = "Wang Zhenhua and Zhang Weiguo and Shi Jingping and Han Ying",

year = "2008",

doi = "10.1109/ICCIS.2008.4670944",

language = "英语",

isbn = "9781424416745",

series = "2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008",

publisher = "IEEE Computer Society",

pages = "797--800",

booktitle = "2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008",

note = "2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 ; Conference date: 21-09-2008 Through 24-09-2008",

}

Zhenhua, W, Weiguo, Z, Jingping, S & Ying, H 2008, UAV route planning using multiobjective ant colony system. in 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008., 4670944, 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008, IEEE Computer Society, pp. 797-800, 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008, Chengdu, China, 21/09/08. https://doi.org/10.1109/ICCIS.2008.4670944

UAV route planning using multiobjective ant colony system. / Zhenhua, Wang; Weiguo, Zhang; Jingping, Shi et al.
2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008. IEEE Computer Society, 2008. p. 797-800 4670944 (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - UAV route planning using multiobjective ant colony system

AU - Zhenhua, Wang

AU - Weiguo, Zhang

AU - Jingping, Shi

AU - Ying, Han

PY - 2008

Y1 - 2008

N2 - In this article we present an application of the Multiobjective Ant Colony System (MACS) algorithm to the Uninhabited Aerial Vehicles (UAVs) route planning problem based on VORONOI diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational results show the efficiency of this method.

AB - In this article we present an application of the Multiobjective Ant Colony System (MACS) algorithm to the Uninhabited Aerial Vehicles (UAVs) route planning problem based on VORONOI diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational results show the efficiency of this method.

KW - MACS

KW - Pareto front UAV route planning

KW - VO-RONOI diagram

UR - http://www.scopus.com/inward/record.url?scp=57649188876&partnerID=8YFLogxK

U2 - 10.1109/ICCIS.2008.4670944

DO - 10.1109/ICCIS.2008.4670944

M3 - 会议稿件

AN - SCOPUS:57649188876

SN - 9781424416745

T3 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008

SP - 797

EP - 800

BT - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008

PB - IEEE Computer Society

T2 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008

Y2 - 21 September 2008 through 24 September 2008

ER -

UAV route planning using multiobjective ant colony system

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this