Evolutionary Computing for Metals Properties Modelling

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

@InProceedings{abbod2007,

• author = "Maysam F. Abbod and M. Mahfouf and D. A. Linkens and C. M. Sellars",
• title = "Evolutionary Computing for Metals Properties Modelling",
• booktitle = "THERMEC 2006",
• year = "2006",
• volume = "539",
• pages = "2449--2454",
• series = "Materials Science Forum",
• address = "Vancouver",
• publisher_address = "Switzerland",
• month = jul # " 4-8",
• publisher = "Trans Tech Publications",
• keywords = "genetic algorithms, genetic programming, strain, alloy materials, modeling, material property, stress",
• ISSN = "1662-9752",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.1011.6271",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.6271",
• URL = "http://www.scientific.net/MSF.539-543.2449.pdf",
• DOI = "doi:10.4028/www.scientific.net/MSF.539-543.2449",
• size = "6 pages",
• abstract = "During the last decade Genetic Programming (GP) has emerged as an efficient methodology for teaching computers how to program themselves. This paper presents research work which uses GP for developing mathematical equations for the response surfaces that have been generated using hybrid modelling techniques for predicting the properties of materials under hot deformation. Collected data from the literature and experimental work on aluminium are used as the initial training data for the GP to develop the mathematical models under different deformation conditions and compositions.",
• notes = "Published Feb 2007 in Materials Science Forum ?",

}

Genetic Programming entries for Maysam F Abbod Mahdi Mahfouf Derek A Linkens Mike Sellars

Citations