Novel Techniques in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@PhdThesis{Thomas_Fernandez:thesis,
  author =       "Thomas Fernandez",
  title =        "Novel Techniques in Genetic Programming",
  school =       "Florida Atlantic University",
  year =         "2006",
  address =      "Boca Raton, FL, USA",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-542-93591-6",
  URL =          "http://phdtree.org/pdf/26285200-novel-techniques-in-genetic-programming/",
  URL =          "http://search.proquest.com/docview/305311992",
  size =         "155 pages",
  abstract =     "Three major problems make Genetic Programming
                 unfeasible or impractical for real world problems.

                 The first is the excessive time complexity. In nature
                 the evolutionary process can take millions of years, a
                 time frame that is clearly not acceptable for the
                 solution of problems on a computer. In order to apply
                 Genetic Programming to real world problems, it is
                 essential that its efficiency be improved.

                 The second is called overfitting (where results are
                 inaccurate outside the training data). In a paper[36]
                 for the Federal Reserve Bank, authors Neely and Weller
                 state a perennial problem with using flexible, powerful
                 search procedures like Genetic Programming is over
                 fitting, the finding of spurious patterns in the data.
                 Given the well-documented tendency for the genetic
                 program to over fit the data it is necessary to design
                 procedures to mitigate this.

                 The third is the difficulty of determining optimal
                 control parameters for the Genetic Programming process.
                 Control parameters control the evolutionary
                 process.They include settings such as, the size of the
                 population and the number of generations to be run. In
                 his book[45], Banzhaf describes this problem, The bad
                 news is th at Genetic Programming is a young field and
                 the effect of using various combinations of parameters
                 is just beginning to be explored.

                 We address these problems by implementing and testing a
                 number of novel techniques and improvements to the
                 Genetic Programming process. We conduct experiments
                 using datasets of various degrees of difficulty to
                 demonstrate success with a high degree of statistical
                 confidence.",
  notes =        "Supervisor: Borko Furht

                 UMI Number: 3238947",
}

Genetic Programming entries for Thomas Fernandez

Citations