| Abstract: | This paper describes how we use Genetic Programming (GP) techniques to help  project managers find near optimal designs for their project organizations.  We use GP as a postprocessor optimizer for the project organization 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 favorably with the bes  |