Quality Management Using Electrical Capacitance Tomography and Genetic Programming: A new Framework

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

@InProceedings{Sheta:2011:SGAI,

• author = "Alaa F. Sheta and Peter Rausch and Alaa Al-Afeef",
• title = "Quality Management Using Electrical Capacitance Tomography and Genetic Programming: A new Framework",
• booktitle = "Proceedings of the 31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2011",
• year = "2011",
• editor = "Max Bramer and Miltos Petridis and Lars Nolle",
• pages = "211--216",
• address = "Cambridge, England",
• publisher_address = "London",
• month = dec,
• organisation = "BCS special interest group on Artificial Intelligence",
• publisher = "Springer",
• note = "Research and Development in Intelligent Systems XXVIII, Incorporating Applications and Innovations in Intelligent Systems XIX",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4471-2318-7",
• DOI = "doi:10.1007/978-1-4471-2318-7_15",
• abstract = "Currently, many automotive companies struggle with expensive product recalls. To overcome these issues the need for quality management increases. Hence, we propose a monitoring and control framework for Lost Foam Casting (LFC) manufacturing processes using Electrical Capacitance Tomography (ECT) and an evolutionary Genetic Programming (GP) based system. The multi-tier framework simulates the process output, helps simulating a metal filling modeling part of the process and supports product quality control. The results are very promising.",
• affiliation = "Computer Science Department, The World Islamic Science and Education (WISE) University, Amman, Jordan",

}

Genetic Programming entries for Alaa Sheta Peter Rausch Alaa Al-Afeef

Citations