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

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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