Identification Of Fluid Systems Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{watson:1996:ifs,

• author = "A. H. Watson and I. C. Parmee",
• title = "Identification Of Fluid Systems Using Genetic Programming",
• booktitle = "Proceedings of the Second Online Workshop on Evolutionary Computation (WEC2)",
• year = "1996",
• number = "2",
• pages = "45--48",
• broken = "http://www.bioele.nuee.nagoya-u.ac.jp/wec2/",
• month = "4--22 " # mar,
• organisation = "Research Group on ECOmp of the Society of Fuzzy Theory and Systems (SOFT)",
• publisher = "Nagoya University, Japan",
• keywords = "genetic algorithms, genetic programming, Fluid Systems, Evolutionary Computing",
• broken = "http://www.bioele.nuee.nagoya-u.ac.jp/wec2/papers/files/watson.ps",
• URL = "http://citeseer.ist.psu.edu/cache/papers/cs/4894/http:zSzzSzwww.bioele.nuee.nagoya-u.ac.jpzSzwec2zSzpaperszSzfileszSzwatson.pdf/watson96identification.pdf",
• URL = "http://citeseer.ist.psu.edu/watson96identification.html",
• size = "4 pages",
• abstract = "In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), techniques such as the Genetic Algorithm (GA), and Genetic Programming GP, for engineering design. This paper illustrates the effectiveness of the genetic programming paradigm for simple fluid systems identification problems. The objective of the paper is to establish methods for systems identification using GP and sets of empirical data. The manipulation and optimisation of these approximate functions that describe the physical process is achieved using the GP approach and by the development of complementary AS techniques. Two new GP operators are introduced, the first searches through possible values of terminals for a particular functional tree structure, and the second uses functional induction to improve the performance of the technique.",

}

Genetic Programming entries for Andrew H Watson Ian C Parmee

Citations