WP085: Organization Design Optimization Using Genetic Programming
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.
Description
| Type of resource | text |
|---|---|
| Date created | April 2004 |
Creators/Contributors
| Author | Khosraviani, Bijan |
|---|---|
| Author | Levitt, Raymond E. |
Subjects
| 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 |
Bibliographic information
Access conditions
- 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
- 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
Collection
CIFE Publications
Contact information
- Contact
- cife-email@stanford.edu
Loading usage metrics...