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Organization Design Optimization Using Genetic Programming

TitleOrganization Design Optimization Using Genetic Programming
Publication TypeWorking Paper
Year of Publication2004
AuthorsKhosraviani, B, Levitt, RE
IssueWP085
Date Published04/2004
PublisherCIFE
Publication Languageeng
KeywordsCenter for Integrated Facility Engineering, Charrette, CIFE, Design, Optimization, Organization Models, Simulation, Stanford University, VDT, Virtual Design Team
AbstractThis 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.
URLhttps://purl.stanford.edu/py346cr6785
PDF Linkhttps://stacks.stanford.edu/file/druid:py346cr6785/WP085 (1).pdf
Citation Key834