Course Information

Course Name	Turkish	Sezgisel Arama ve Yapay Zeka
	English	Heuristic Srch&Artific.Intell.
Course Code	END 457E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Ömer Faruk Beyca
Course Objectives		1. To introduce a variety of heuristic methods with relevant mathematics and area of application. 2. To give knowledge on developing heuristic algorithms. 3. To provide fundamental information on Artificial Intelligence Techniques.
Course Description		The difficulty levels of many real world problems in business are considered to be NPComplete. Utilizing conventional opitimization techniques in this type of problems either are computationally expensive or do not yield to a result. However, utilizing Heuristic Search algorithms, a near-optimum solution can be found in a short amount of time. This course firstly provides a detailed introduction to Heuristic Search algorithms.Simulated Annealing, Tabu Search, Genetic Algorithm, Ant Colony and Swarm Intelligence will be in the focus, but an overview of other methods will also be given. Secondly, an the concepts of Artificial Intelligence will be introduced. Additionally, two methods that provide modeling in Artificial Intelligence will be introduced: Self-Organizing Maps and Fuzzy Logic. Attendees will gain knowledge of where and how to use heuristic methods in addition to reading about comparisons with classical algorithms in selected papers
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