Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Industrial Engineering
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Metaheuristics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM518 - Metaheuristics
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR GÜRKAN ÖZTÜRK
Mode of Delivery Face to Face
Prerequisites Computer Programming Skills
Courses Recomended
Required or Recommended Resources Talbi El-Ghazali, Metaheuristics: From Design to Implementation, 2009, John Wiley & Sons., New Jersey
Recommended Reading List
Assessment methods and criteria Midterm Exam, Homework, Project, Final Exam
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Optimization : models and methods; Computer Programming Review
Week - 2 Common concepts for metaheuristics
Week - 3 Performance analysis of metaheuristics
Week - 4 Tek-çözüm temelli metasezgiseller
Week - 5 Local search, simulated annealing
Week - 6 Tabu search, iterated local search
Week - 7 Variable neighborhood search, guided local search
Week - 8 Population based metaheuristics
Week - 9 Evolutionary algorithms 1
Week - 10 Evolutionary algorithms 2
Week - 11 Scatter search, ant colony optimization
Week - 12 Particle swarm optimization
Week - 13 Bees colony

Learning Activities and Teaching Methods

  • Competences
  • Creative
  • Problem solving
  • Information Management
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations