Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming

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@InProceedings{Bernardino:2011:ICARIS,

• author = "Heder S. Bernardino and Helio J. C. Barbosa",
• title = "Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming",
• booktitle = "Proceedings of the International Conference on Artificial Immune Systems (ICARIS)",
• year = "2011",
• editor = "Pietro Lio and Giuseppe Nicosia and Thomas Stibor",
• volume = "6825",
• series = "Lecture Notes in Computer Science",
• pages = "198--211",
• address = "Cambridge, UK",
• month = jul # " 18-21",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-22370-9",
• URL = "http://dx.doi.org/10.1007/978-3-642-22371-6_19",
• DOI = "doi:10.1007/978-3-642-22371-6_19",
• abstract = "Grammar-based Immune Programming (GIP) is a method for evolving programs in an arbitrary language using an immunological inspiration. GIP is applied here to solve the relevant modelling problem of finding a system of differential equations, in analytical form, which better explains a given set of data obtained from a certain phenomenon. Computational experiments are performed to evaluate the approach, showing that GIP is an efficient technique for symbolic modelling.",
• language = "English",

}

Genetic Programming entries for Heder Soares Bernardino Helio J C Barbosa

Citations