IE4907 SPECIAL TOPICS IN IE: MULTI-OBJECTIVE COMBINATORIAL OPTIMIZATION
| Course Code: | 5684907 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assist.Prof.Dr BANU LOKMAN |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
The main objective of this course is to develop skills in building and understanding models for multi-objective combinatorial optimization (MOCO) problems. The course aims to equip the students with various solution methods and provide a framework in multi-objective combinatorial optimization. The course has the following specific objectives.
Course objective 1: At the end of the course, the students will be able to formulate mathematical programs for MOCO problems.
Course objective 2: At the end of the course, the students will be able to apply appropriate techniques and methods to solve MOCO problems.
Course objective 3: At the end of the course, the students will be able to develop interactive methods that incorporate the preferences of the decision maker.
Course Content
Optimization with multiple objectives. Introduction to Multi-objective Combinatorial Optimization (MOCO). Properties of MOCO problems. Exact Solution Methods for MOCO Problems. Multi-objective Heuristics and Metaheuristics. Interactive Methods.
Course Learning Outcomes
By the end of the course, the students will be able to:
1. Understand the properties of the multi-objective combinatorial optimization problems.
2. Formulate problems with combinatorial sturucture and multiple criteria.
3. Generalize single-objective solution methods of MOCO problems to multiple criteria.
4. Generate efficient solution alternatives for multi-objective optimization problems.
5. Understand the pricinciples to implement interactive procedures.
6. Find the most preferred point of the decision maker.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||