Genetic algorithm based on receding horizon control for real-time implementations in dynamic environments
conference contributionposted on 11.12.2012 by Xiao-Bing Hu, Wen-Hua Chen
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering