Approximation model building using genetic programming methodology: applications

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{oai:CiteSeerPSU:512359,

• author = "Luis F. Alvarez and Vassili V. Toropov and David C. Hughes and Ashraf F. Ashour",
• title = "Approximation model building using genetic programming methodology: applications",
• booktitle = "Second ISSMO/AIAA Internet Conference on Approximations and Fast Reanalysis in Engineering Optimization",
• year = "2000",
• editor = "Thouraya Baranger and Fred van Keulen",
• month = "25 " # may # "-2 " # jun,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www-tm.wbmt.tudelft.nl/~wbtmavk/2aro_conf/Toropov/Fred4.pdf",
• broken = "http://www-tm.wbmt.tudelft.nl/~wbtmavk/2aro_conf/Toropov/fred.html",
• URL = "http://www-tm.wbmt.tudelft.nl/~wbtmavk/2aro_conf/Toropov/FRED4.PS",
• URL = "http://citeseer.ist.psu.edu/512359.html",
• citeseer-isreferencedby = "oai:CiteSeerPSU:81525",
• citeseer-references = "oai:CiteSeerPSU:60878",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:512359",
• rights = "unrestricted",
• abstract = "Genetic Programming methodology is used for the creation of approximation functions obtained by the response surface methodology. Two important aspects of the problems are addressed: the choice of the plan of experiment and the model tuning using the least-squares response surface fitting. Several examples show the applications of the technique to problems where the values of response functions are obtained either by numerical simulation or laboratory experimentation.",
• notes = "Multicriteria Optimization of the Manufacturing Process for Roman Cement",

}

Genetic Programming entries for Luis F Alvarez Vassili V Toropov David C Hughes A F Ashour

Citations