Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm

Guolin Yu; Hui Song; Jie Gao

doi:10.21307/ijssis-2017-707

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Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm

International Journal on Smart Sensing and Intelligent Systems

Volume 7 (2022): Issue 3 (January 2022)

By: Guolin Yu, Hui Song and Jie Gao

Open Access

|Sep 2014

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.

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Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2017-707 | Journal eISSN: 1178-5608

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Language: English

Page range: 1310 - 1325

Submitted on: May 10, 2014

Accepted on: Sep 1, 2014

Published on: Sep 1, 2014

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Unmanned Aerial Vehicle (UAV),

Path planning,

Teaching-Learning-Based Optimization (TLBO),

Optimization problem

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2014 Guolin Yu, Hui Song, Jie Gao, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 7 (2022): Issue 3 (January 2022)