On behalf of the University of Maribor, Faculty of Energy Technology, we would like to thank you for your upcoming invited lecture at the 7th International Symposium on Applied Electromagnetics 2018. We would kindly ask you to fill out the following information:

Name: Goga Cvetkovski 
Job title: Full Professor 
University: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies, Skopje

Your short CV and research work (300 characters):

Goga Cvetkovski received the BSc EE, MSc EE and doctoral degree from the Faculty of Electrical Engineering and Information Technologies (FEEIT) at Ss. Cyril & Methodius University in Skopje in 1992, 1994 and 2001, respectively. At present he is professor at the Department of Electrical Machines, Transformers and Apparatuses at FEEIT giving lectures in electrical machines, power converters and drives. His main field of interest covers various problems of electrical machines, and in particular optimal design, control, simulations and FEM calculations. Goga Cvetkovski has published more than 270 papers in scientific journals and conference proceedings. Prof. Goga Cvetkovski is a Senior Member of IEEE and vice-chair of the joint chapter of IE/IA/PELS of Republic of Macedonia IEEE Section. He is also president of the Macedonian Society for Power Electronics, Automation and Control.

Topic and title of lecture: A Survey of Bio Inspired Optimization Algorithms for Optimal Design of Power Devices

Short description/abstract of lecture (300 characters):

Optimal design of electrical machines generally is usually a complicated process with a lot of optimization parameters, constrains and complex objective functions. Standard deterministic methods can sometimes have difficulties to solve such problems, where on the other hand lately the stochastic methods have proved that they are quite powerful in solving such problems. There is large group of stochastic methods that are bio inspired and based on behaviour of certain species in nature. The purpose of this research work is to present the mechanism of performance of several bio-based optimization methods and to present the results of their optimal design performed on several power devices. The objective function in the optimization process in most cases is defined to be the efficiency of the motor. The optimization methods that are going to be presented and investigated in the optimal design of several power devices are Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS).

Your expertise and experience will be an excellent addition to our programme.

Sincerely,
University of Maribor
Faculty of Energy Technology

Prof. dr. Bojan Štumberger,
Chairman of SAEM 2018
Prof. dr. Miralem Hadžiselimović,
Local Organising Committee