Dear John, 
Please see below, our entry for the HUMAN-COMPETITIVE RESULTS IN GENETIC AND  EVOLUTIONARY COMPUTATION contest. 
Best,
Bijan

(1) the name, physical address, e-mail address, and phone number of EACH
author,

Professor Raymond E. Levitt
Stanford University, MC 4020
Department of Civil and Environmental Engineerig
Stanford, CA 94305
E-Mail:       Ray.Levitt@Stanford.edu
Telephone:   (650) 723-2677

Professor John R. Koza
Post Office Box K
Los Altos, California 94023 USA 
E-Mail:           koza@stanford.edu
Telephone:     (650)941-0336

Bijan KHosraviani
4691 Albany Circle #119
San Jose, CA 95129-1126
E-Mail:          bijan@stanford.edu
Telephone:     (408)891-2759

(2) the title of at least one paper published in the open literature
describing the work,

Organization Design Optimization Using Genetic Programming 

(3) the abstract of the paper(s),

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 best human generated designs.

(4) PDF file of the paper(s), and

please see attached.

(5) a statement specifically identifying one or more of the eight criteria
(below) and stating why the result satisfies that criteria. 

Project organization design is a complex, multi-dimensional optimization problem. Every year since 1996, multiple student teams and practitioner project manager teams at Stanford University have been given a challenging real world assignment to redesign the organization for a project team assigned to plan the construction of a biotech plant.  The specific assignment to the teams is to use the SimVision® organization simulator developed at Stanford to help optimize the organization design of this project team so as to minimize project duration, subject to a realistic set of constraints on addition of staff, skills of team members, reassignment of tasks, and adherence to minimum process quality requirements. 

The best solution found by the GP optimizer that we developed for SimVision found a solution that is 2% shorter than the best solution ever found by student/manager groups over the past 8 years.

This case study has been assigned every year since 1996 to graduate engineering students in fall quarter during a class, CEE 242 Organization Design for Projects and Companies, and to practitioners during the CIFE Summer Program--a summer management workshop taught at Stanford University. There are approximately 30 students in CEE242, divided in groups of 4 to 5 people who work on the problem.  Each summer workshop contains a similar number of professional project managers from around the world who try to optimize the given design. We offer a bottle of Champagne each year to any team who beats the current best solution while meeting all constraints.  Thus about 50 highly motivate graduate student teams and a similar number of experienced and motivated practitioner teams have attempted to solve this problem over the past eight years.  In the first few years, teams found increasingly better solutions, but the improvements flattened out after about after five years, and the current best solution has not been equaled in the past three years.  So our GP-produced result is competitive with--and surpasses--a challenging human-produced result over an extended period, and satisfies the following three of the eight criteria:

(E) The result is equal to or better than the most recent human-created solution to a long-standing problem for which there has been a succession of increasingly better human-created solutions.

(G) The result solves a problem of indisputable difficulty in its field.

(H) The result holds its own or wins a regulated competition involving human contestants (in the form of either live human players or human-written computer programs).

(6) a full citation of the paper (i.e., publisher, city, date, editor names,
if any, etc.)

KHosraviani B., Levitt E.R., Koza J.R.,:  Organization Design Optimization Using Genetic Programming, In Proceedings of the 9th Genetic Programming Conference (GP) and the 13th International Conference on Genetic Algorithms (ICGA) (2004)