WP085: Organization Design Optimization Using Genetic Programming

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This paper describes how we use Genetic Programming (GP) techniques to help project managers find near optimal designs for their project organizations. Our GP model is a postprocessor optimizer for the Virtual Design Team (VDT), a project organization design simulator also developed at Stanford. Decision making policy and individual/sub-team properties 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 favorably with the best human generated designs.


Type of resource text
Date created April 2004


Author Khosraviani, Bijan
Author Levitt, Raymond E.


Subject CIFE
Subject Center for Integrated Facility Engineering
Subject Stanford University
Subject Charrette
Subject Design
Subject Optimization
Subject Organization Models
Subject Simulation
Subject VDT
Subject Virtual Design Team
Genre Technical report

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Khosraviani, Bijan and Levitt, Raymond E.. (2004). WP085: Organization Design Optimization Using Genetic Programming. Stanford Digital Repository. Available at: http://purl.stanford.edu/py346cr6785


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