Identification of Nonlinear Discrete Dynamic Systems Using Enhanced Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Maher:2017:EECS,

• author = "Rami A. Maher and Mohammad J. Mohammad",
• booktitle = "2017 European Conference on Electrical Engineering and Computer Science (EECS)",
• title = "Identification of Nonlinear Discrete Dynamic Systems Using Enhanced Genetic Programming",
• year = "2017",
• pages = "225--229",
• abstract = "This paper introduces the use of the evolutionary genetic programming to solve the identification problem of nonlinear discrete dynamic systems. The standard GP is enhanced by a general parameter optimization technique to include one of four proposed techniques. The efficiency of finding the numeric constant node is significantly improved as compared to the traditional methods. The simulation procedure includes first a comparison between the enhanced GP by one of the parameter optimization techniques and the standard GP. Then after for six different models, a comparison between the four techniques is performed. The comparison is made in terms of the number of runs require to find the perfect model, and the average number of generations for successful runs.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/EECS.2017.49",
• month = nov,
• notes = "Also known as \cite{8412025}",

}

Genetic Programming entries for Rami Abdul Qade Maher Mohammad J Mohammad

Citations