Identification of Nonlinear Discrete Systems Based Enhanced Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Maher:2017:ijmcs,

• author = "Rami A. Maher and Mohammad J. Mohammad",
• title = "Identification of Nonlinear Discrete Systems Based Enhanced Genetic Programming",
• journal = "International Journal of Mathematics and Computers in Simulation",
• year = "2017",
• volume = "11",
• pages = "204--210",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1998-0159",
• URL = "http://www.naun.org/cms.action?id=2826",
• URL = "http://www.naun.org/cms.action?id=15242",
• URL = "http://www.naun.org/main/NAUN/mcs/2017/a582002-010.pdf",
• size = "7 pages",
• abstract = "This paper introduces the application of the genetic programming to solve the identification problems of nonlinear discrete dynamic systems. The standard GP is enhanced first to be of a Multi basis function structure and then 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. Finally, a complicated nonlinear discrete is selected to show the powerful of the proposed algorithm.",
• notes = "Rami A. Maher is with the Isra University, Amman, Jordan, while Mohammad J. Mohammad is with the University Of Tech Baghdad Iraq",

}

Genetic Programming entries for Rami Abdul Qade Maher Mohammad J Mohammad

Citations