Course Information

Course Name	Turkish	Enerji Sist.Akıllı Optim.Yönt.
	English	Intelligent Optimization Methods for Energy Systems
Course Code	BLU 512	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Gülcihan Özdemir
Course Objectives		1. Learning intelligent methods and their principles. 2. Learning advantages/disadvantages of intelligent methods to numerical methods. 3. Learning the design of intelligent methods. 4. Learning how to model problems in real world areas such as electrical power systems, electrical distribution systems and smart grids, solving them.
Course Description		Simulated Annealing Method, Tabu Search Method, Genetic Algorithms, Differential Evolution Method, Partical Swarm Optimization, Harmoni Search Method, Ant Colony Optimization, Artificial Bee Colony Optimization, Gravitational Search Algorithm, Electrical Transmission Systems Applications, Electrical Distribution System Applications, Smart Grid Applications
Course Outcomes		1. Advantages/disadvantages of intelligent optimization methods comparing to derivative based numerical optimization methods. 2. Intelligent methods’ principles. 3. Concepts such as: population, fitness function, crossover, mutation, and their determination. 4. Criteria for determining the parameters of intelligent optimization methods. 5. Comparison and improvement of the performances of the methods
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References

Courses

Help

About