Organization Design Optimization Using Genetic Programming

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

@InProceedings{khosraviani:2004:lbp,
  author =       "Bijan KHosraviani and Raymond E. Levitt and 
                 John R. Koza",
  title =        "Organization Design Optimization Using Genetic
                 Programming",
  booktitle =    "Late Breaking Papers at the 2004 Genetic and
                 Evolutionary Computation Conference",
  year =         "2004",
  editor =       "Maarten Keijzer",
  address =      "Seattle, Washington, USA",
  month =        "26 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/LBP056.pdf",
  abstract =     "This paper describes how we use Genetic Programming
                 (GP) techniques to help project managers find near
                 optimal designs for their project organisations. We use
                 GP as a postprocessor optimiser for the project
                 organisation design simulator Virtual Design Team
                 (VDT). Decision making policy and individual/sub-team
                 properties, activity assignments and percentage
                 allocation for each activity are varied by GP, and the
                 effect on quality and duration of the project is
                 compared via a fitness function. The solutions found by
                 GP compare favourably with the bes",
  notes =        "Part of \cite{keijzer:2004:GECCO:lbp}",
}

Genetic Programming entries for Bijan KHosraviani Raymond Elliot Levitt John Koza

Citations