Fall 2007

Fall 2007

MEG 727 Engineering Optimization

Instructor: Mohamed B. Trabia TBE B-124 (Ext. 0957)

Time: M W 4:00-5:15 p.m. BHS-134

Office Hours: M T W Th F 3:00-4:00 p.m.

Prerequisite: MAT 445 or consent of instructor

Text:

G.V. Rekalitis, A. Ravindran, K.M. Ragsdell, “Engineering Optimization: Methods and Applications,” Wiley.

Grades:

Assignments 35

Exams 35

Project 30

Notes:

Assignments are usually computer assignments. We will use MATLAB Optimization Toolbox throughout the course. MATLAB is available at the College of Engineering package. For more information on the use of MATLAB, please check: http://www.egr.unlv.edu/stock_answers/.

A copy of this schedule, and other course material, is posted at the Mechanical Engineering Department web site: http://www.me.unlv.edu. To access his material, click on: Syllabi, Course Notes, Handouts. Select, MEG 727 Course Information.

Each student has to select a topic for optimization project by the mid-semester. Students will submit progress report (will be graded) a month later. Each student is expected to find an appropriate problem from his/her background. If any of the projects proves innovative, it may result in possible publication in an appropriate technical journal or conference.

SYLLABUS

MTG	DAY / DATE	TOPIC
1	M 8/27	Introduction to Optimization
2	W 8/29	Introduction to Optimization
3	M 9/3	Labor Day Recess
4	W 9/5	Optimization of a Single Variable Function
5	M 9/10	Optimization of a Single Variable Function
6	W 9/12	Optimization of a Single Variable Function
7	M 9/17	Optimization of a Multi-Variables Function
8	W 9/19	Optimization of a Multi-Variables Function
9	M 9/24	Optimization of a Multi-Variables Function
10	W 9/26	Optimization of a Multi-Variables Function
11	M 10/1	Exam #1
12	W 10/3	Constrained Optimality Criteria
13	M 10/8	Constrained Optimality Criteria
14	W 10/10	Project Proposals Due (Discussions)
15	M 10/15	Transformation Methods
16	W 10/17	Transformation Methods
17	M 10/22	Transformation Methods
18	W 10/24	Exam #2
19	M 10/29	Constrained Direct Search
20	W 10/31	Project Progress Report Due (Discussions)
21	M 11/5	Constrained Direct Search
22	W 11/7	Constrained Direct Search
23	M 11/12	Veteran's Day Recess
24	W 11/14	Constrained Direct Search
25	M 11/19	Quadratic Approximation Methods
26	W 11/21	Quadratic Approximation Methods
27	M 11/26	Quadratic Approximation Methods
28	W 11/28	Genetic Algorithms
29	M 12/3	Genetic Algorithms
30	W 12/5	Genetic Algorithms
	M 12/10	Final Exam – 6:00 p.m.