Organization Design Optimization Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@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, ECJ, VDT model",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2004/LBP056.pdf",
• size = "12 pages",
• 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 best human generated designs",
• notes = "Part of \cite{keijzer:2004:GECCO:lbp}",

}

Genetic Programming entries for Bijan KHosraviani Raymond Elliot Levitt John Koza

Citations