Organization Design Optimization Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{khosraviani:2004:lbp,
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author = "Bijan KHosraviani and Raymond E. Levitt and
John R. Koza",
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title = "Organization Design Optimization Using Genetic
Programming",
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booktitle = "Late Breaking Papers at the 2004 Genetic and
Evolutionary Computation Conference",
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year = "2004",
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editor = "Maarten Keijzer",
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address = "Seattle, Washington, USA",
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month = "26 " # jul,
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keywords = "genetic algorithms, genetic programming, ECJ, VDT
model",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2004/LBP056.pdf",
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size = "12 pages",
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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",
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notes = "Part of \cite{keijzer:2004:GECCO:lbp}",
- }
Genetic Programming entries for
Bijan KHosraviani
Raymond Elliot Levitt
John Koza
Citations