Image Reconstruction of a Manufacturing Process: A Genetic Programming Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Alaa Al-Afeef and Alaa Sheta and Adnan Rabea",
  title =        "Image Reconstruction of a Manufacturing Process: A
                 Genetic Programming Approach",
  publisher =    "Lambert Academic Publishing",
  year =         "2011",
  edition =      "1",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3844325690",
  URL =          "",
  URL =          "",
  abstract =     "Product Description

                 Evolutionary Computation (EC) is one of the most
                 attractive techniques in the area of Computer Science.
                 EC includes Genetic Algorithms (GAs), Genetic
                 Programming (GP), Evolutionary Strategy (ES) and
                 Evolutionary Programming (EP). GP have been widely used
                 to solve a variety of problems in image enhancement,
                 analysis and segmentation. This book explores the use
                 of GP as a powerful approach to solve the image
                 reconstruction problem for Lost Foam Casting (LFC)
                 manufacturing process. The data set was collected using
                 the Electrical Capacitance Tomography (ECT) technique.
                 ECT is one of the most attractive technique for
                 industrial process imaging because of its low
                 construction cost, safety, non-invasiveness,
                 non-intrusiveness, fast data acquisition, simple
                 structure, wide application field and suitability for
                 most kinds of flask and vessels. GP found to be a very
                 efficient algorithm in producing a mathematical model
                 of image pixels in a form of Lisp expression. A
                 Graphical User Interface (GUI) Toolbox based Matlab was
                 developed to help analysing and visualising the
                 reconstructed images based GP problem. The reported
                 results are promising.",
  size =         "100 pages",

Genetic Programming entries for Alaa Al-Afeef Alaa Sheta Adnan Al-Rabea