<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a feasible and effective method for UAV path planning.</p></abstract>

Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a feasible and effective method for UAV path planning.

Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm"}

Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO)...

Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm

Online veröffentlicht: 01. Sept. 2014

Seitenbereich: 1310 - 1325

Eingereicht: 10. Mai 2014

Akzeptiert: 01. Sept. 2014

DOI: https://doi.org/10.21307/ijssis-2017-707

Schlüsselwörter
Unmanned Aerial Vehicle (UAV), Path planning, Teaching-Learning-Based Optimization (TLBO), Optimization problem

© 2014 Guolin Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm

Online veröffentlicht: 01. Sept. 2014

Seitenbereich: 1310 - 1325

Eingereicht: 10. Mai 2014

Akzeptiert: 01. Sept. 2014

DOI: https://doi.org/10.21307/ijssis-2017-707

SchlüsselwörterUnmanned Aerial Vehicle (UAV), Path planning, Teaching-Learning-Based Optimization (TLBO), Optimization problem

© 2014 Guolin Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Unmanned Aerial Vehicle (UAV), Path planning, Teaching-Learning-Based Optimization (TLBO), Optimization problem