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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/11156

Title: Genetic algorithm based on receding horizon control for real-time implementations in dynamic environments
Authors: Hu, Xiao-Bing
Chen, Wen-Hua
Keywords: Receding horizon control
Genetic algorithm
Chromosome
Fitness function
Terminal penalty
Issue Date: 2005
Publisher: © The International Federation of Automatic Control (IFAC) in partnership with Elsevier
Citation: HU, X-B. and CHEN, W-H, 2005. Genetic algorithm based on receding horizon control for real-time implementations in dynamic environments. IN: Piztek, P. (ed.).Proceedings of the 16th IFAC World Conference, 4th-8th July 2005, Prague, 16 (1) pp. 1103
Abstract: This paper introduces the concept of Receding Horizon Control (RHC) to Genetic Algorithm (GA) for real-time implementations in dynamic environments. The methodology of the new GA is presented with the emphases on how to effectively integrate the RHC strategy by following some RHC practices in control engineering, particularly, how to choose the length of receding horizon and how to design terminal penalty. Simulation results show that, when the RHC based GA is applied in dynamic environments, both computational efficiency and performance are improved in comparison with existing GAs.
Description: This is a conference paper.
Version: Accepted for publication
DOI: 10.3182/20050703-6-CZ-1902.01104
URI: https://dspace.lboro.ac.uk/2134/11156
Publisher Link: http://www.ifac-papersonline.net/cgi-bin/links/page.cgi?g=Detailed%2F28385.html;d=1;browse=k
ISBN: 9783902661753
9780080451084
ISSN: 1474-6670
Appears in Collections:Conference Papers and Contributions (Aeronautical and Automotive Engineering)

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