A Revised Perspective on the Evaluation of IT/IS Investments using an Evolutionary Approach

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

@InProceedings{irani:1998:rpeIea,
  author =       "Zahir Irani and Amir M. Sharif",
  title =        "A Revised Perspective on the Evaluation of IT/IS
                 Investments using an Evolutionary Approach",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1998
                 Conference",
  year =         "1998",
  editor =       "John R. Koza",
  pages =        "77--83",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "Stanford, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Stanford University Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://bura.brunel.ac.uk/handle/2438/4257",
  URL =          "http://bura.brunel.ac.uk/bitstream/2438/4257/1/GP98%20-%20GA-ISE.pdf",
  size =         "6.1 pages",
  abstract =     "On-going research into the evaluation of Information
                 Technology (IT) / Information Systems (IS) projects has
                 shown that aerospace and supply chain industries are
                 needing to address the issue of effective project
                 investment in order to gain technological and
                 competitive advantage. The evaluative nature of the
                 justification process requires a mapping of
                 interrelated quantities to be optimised. Earlier work
                 by the authors (Irani and Sharif 1997) has presented a
                 theoretical functional model that describes these
                 relationships in turn. By applying a fuzzy mapping to
                 these variables, the optimisation of intangible
                 relationships in the form of a Genetic Algorithm (GA)
                 is proposed as a method for investment justification.
                 This paper revises and reviews these key concepts and
                 provides a recapitulation of this optimisation problem
                 in terms of long-term strategy options and cost
                 implications",
  notes =        "GP-98LB",
}

Genetic Programming entries for Zahir Irani Amir M Sharif

Citations