Akademik Dersler - Tanıtım


Code - Course Title	ENM452 - Introduction to Multiobjective Optimization
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	5.0
Course Instructor(s)	DOÇENT DOKTOR GÜLÇİN DİNÇ YALÇIN
Mode of Delivery	Face to face
Prerequisites	ENM 203 Lineer Programming
Courses Recomended	-
Recommended Reading List	-
Assessment methods and criteria	Exam , project
Work Placement	-
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to multiobjective optimization
Week - 2	Decision variables space, purposes space, order relations and examples
Week - 3	Weighted Sum Method
Week - 4	ϵ-Constrained Method
Week - 5	Benson Method
Week - 6	Benson Method
Week - 7	Benson Method
Week - 8	Chebyshev Scalarization Method
Week - 9	Pascoletti–Serafini Scalarization Method
Week - 10	Conic Scalarization Method
Week - 11	Conic Scalarization Method
Week - 12	Goal Programming
Week - 13	Application of Methods to an Industrial Engineering Problem
Week - 14	Application of Methods to an Industrial Engineering Problem

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	30
Project	1	30
Final Exam	1	40
Toplam (%)		100