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Genetic algorithm based on receding horizon control for real-time implementations in dynamic environments

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conference contribution
posted on 11.12.2012 by Xiao-Bing Hu, Wen-Hua Chen
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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

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

Publisher

© The International Federation of Automatic Control (IFAC) in partnership with Elsevier

Version

AM (Accepted Manuscript)

Publication date

2005

Notes

This is a conference paper.

ISBN

9783902661753;9780080451084

ISSN

1474-6670

Language

en

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