WP085: Organization Design Optimization Using Genetic Programming

<a href="https://embed.stanford.edu/iframe/?url=https%3A%2F%2Fpurl.stanford.edu%2Fpy346cr6785" class="su-underline">Show Content</a>

Abstract/Contents

Abstract: 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

Location	https://purl.stanford.edu/py346cr6785

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

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

CIFE Publications

Loading usage metrics...