GA_RHC(IFAC).pdf (307.19 kB)
Genetic algorithm based on receding horizon control for real-time implementations in dynamic environments
conference contribution
posted on 2012-12-11, 13:54 authored by Xiao-Bing Hu, Wen-Hua ChenWen-Hua ChenThis 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. 1103Publisher
© The International Federation of Automatic Control (IFAC) in partnership with ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2005Notes
This is a conference paper.ISBN
9783902661753;9780080451084ISSN
1474-6670Publisher version
Language
- en