Using Cartesian genetic programming to implement function modelling

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

@Article{Yu:2005:IJICA,

• author = "Zhangyi Yu and Sanyou Zeng and Yan Guo and Liguo Song",
• title = "Using Cartesian genetic programming to implement function modelling",
• journal = "International Journal of Innovative Computing and Applications",
• publisher = "Inderscience Publishers",
• year = "2015",
• month = mar # "~21",
• volume = "3",
• number = "4",
• pages = "213--222",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, CGP, evolutionary algorithms, function modelling",
• bibsource = "OAI-PMH server at www.inderscience.com",
• ISSN = "1751-6498",
• URL = "http://www.inderscience.com/link.php?id=44530",
• DOI = "doi:10.1504/IJICA.2011.044530",
• abstract = "This paper presents a new method which uses Cartesian genetic programming (CGP) in order to implement function modelling. Since Julian F. Miller proposed the method of CGP, the research and development of CGP mainly trends in the design of the circuit application in recent years; very few scholars have the related research of function modelling in this field. Therefore, the most important feature in this paper is that we apply CGP which is originally used for circuit design to implement function modelling. By numerical test experiments and comparison, we find that this method of function modelling is novel and has the comparative advantages and it is intelligent (self-adaptive, self-organising, self-learning, self-healing, etc.) while it can greatly increase the system speed.",

}

Genetic Programming entries for Zhangyi Yu San-you Zeng Yan Guo Liguo Song

Citations