Mth Sc 988 / ME 893 Integration Through Optimization

A course partially sponsored by the National Science Foundation 

 

Fall 2005, T, Th, 9.30 – 10.45 a.m., Room Martin M-203

 

Instructors:            Dr. Georges Fadel                                        Dr. Margaret Wiecek  

Office:                    EIB 202                                                      EIB 203 / Martin O-208

E-mail:                   fgeorge@clemson.edu                                  wmalgor@clemson.edu                                         

Ph:                         656-5620                                                    656-5245

Office hours:          Th 1:30-2:30                                               T 10:45 – 11:45 a.m., Martin O-208                             

 

Course Description: The course will cover theory, methodology, and applications of decomposition, integration, and coordination for large-scale optimization problems encountered in engineering design. Theory and methodology will be supplemented with numerous examples and case studies.

 

Prerequisites:           Mth Sc 810 or equivalent.

 

Class cancellation:   A class is canceled 15 minutes after the instructor fails to arrive.

 

Attendance:             Regular attendance is strongly recommended.

 

Disability access:     It is University policy to provide, on a flexible and individualized basis, reasonable accommodations to students who have disabilities.  Students are encouraged to contact Student Disability Services to discuss their individual needs for accommodation.

 

Textbook:                There will be no mandated text for this course. The material will be presented in the form of lecture notes supported by handouts and other reading materials. A selection of research articles will be placed on reserve in the Cooper Library.

 

Software:                 Mode Frontier, LMS Optimus, DEMAID, GALib, …

 

Topical outline:      

                                Motivation for decomposition and integration, and a historical perspective

                                Conventional engineering optimization methods

                                Optimizers and solvers

                                PROJECT 1: Comparison of conventional and non-conventional optimizers

                                Decomposition of a large-scale system

                                PROJECT 2: Decomposition of a complex system

                                Multidisciplinary optimization (MDO)

                                   Multidisciplinary feasible (MDF)

                                   Interdisciplinary feasible (IDF)

                                   All-at-once (AAO)

                                   Collaborative optimization (CO)

                                   Concurrent subspace optimization (CSSO)

                                   Bi-level integrated system synthesis (BLISS)      

                                PROJECT 3: MDO

                                Analysis models and method

                                Methods for taking derivatives

                                Analytical target cascading (ATC)

                                PROJECT 4: ATC

                                Multi-scenario optimization (MSO)

                                Management issues

 

Note: We will attempt to adhere to the outline. However, the actual pace may be adjusted at the instructor's discretion.

 

Objectives:              Identify the major decomposition and integration techniques of engineering design.

                                Develop competence in the application of these techniques.

                                Analyze applications and case studies in engineering design.

 

Grading:                  4 projects (20% each)                                                               80%

                        Projects will be discussed in class.

                        Late project submission will not be allowed.

        Oral presentation                                                                      20%

                        Depending on the class pace, the students may be required to give an oral                               presentation on a topic of interest. If the presentations do not take place,                            each project will contribute 25% to the final grade.

                       

Grading scale:         A (86-100), B (71-85), C (<70)

                       

Academic Dishonesty Policy will be strictly enforced (see Student Handbook).

As members of the Clemson University community, we have inherited Thomas Green Clemson’s vision of this institution as a high seminary of learning.  Fundamental to this vision is a mutual commitment to truthfulness, honor, and responsibility, without which we cannot earn the trust and respect of others.

Furthermore, we recognize that academic dishonesty detracts from the value of a Clemson degree. Therefore, we shall not tolerate lying, cheating, or stealing in any form.

 

Links:

Optimization software:

http://www-neos.mcs.anl.gov/

http://www.aemdesign.com/fsqpsim.htm

http://plato.la.asu.edu/guide.html

http://www.esteco.it/Products/modeFrontier/

http://www.engineous.com/index.htm

 

 

Decomposition:

http://arc.engin.umich.edu/decomp/decomp.html

http://mdob.larc.nasa.gov/DeMAID/demaid/demaid1.html