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Receding horizon control for cooperative search of multi‐UAVs based on differential evolution

Receding horizon control for cooperative search of multi‐UAVs based on differential evolution Purpose – The purpose of this paper is to present a hybrid method of intelligent optimization algorithm and Receding Horizon Control. The method is applied to solve the problem of cooperative search of multi‐unmanned aerial vehicles (multi‐UAVs). Design/methodology/approach – The intelligent optimization of Differential Evolution (DE) makes the complex problem of multi‐UAVs cooperative search a regular function optimization problem. To meet the real‐time requirement, the idea of Receding Horizon Control is applied. An Extended Search Map based on hormone information is used to describe the uncertain environment information. Findings – Simulation results indicate effectiveness of the hybrid method in solving the problem of cooperative search for multi‐UAVs. Originality/value – The paper presents an interesting hybrid method of DE and Receding Horizon Control for the problem of cooperative multi‐UAVs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Intelligent Computing and Cybernetics Emerald Publishing

Receding horizon control for cooperative search of multi‐UAVs based on differential evolution

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Publisher
Emerald Publishing
Copyright
Copyright © 2012 Emerald Group Publishing Limited. All rights reserved.
ISSN
1756-378X
DOI
10.1108/17563781211208260
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present a hybrid method of intelligent optimization algorithm and Receding Horizon Control. The method is applied to solve the problem of cooperative search of multi‐unmanned aerial vehicles (multi‐UAVs). Design/methodology/approach – The intelligent optimization of Differential Evolution (DE) makes the complex problem of multi‐UAVs cooperative search a regular function optimization problem. To meet the real‐time requirement, the idea of Receding Horizon Control is applied. An Extended Search Map based on hormone information is used to describe the uncertain environment information. Findings – Simulation results indicate effectiveness of the hybrid method in solving the problem of cooperative search for multi‐UAVs. Originality/value – The paper presents an interesting hybrid method of DE and Receding Horizon Control for the problem of cooperative multi‐UAVs.

Journal

International Journal of Intelligent Computing and CyberneticsEmerald Publishing

Published: Mar 23, 2012

Keywords: Robotics; Searching; Programming and algorithm theory; Differential evolution; Unmanned aerial vehicles; Co‐operation

References