A modified quantum-based particle swarm optimization for engineering inverse problem

Obaid Ur Rehman is currently a PhD Student in the College of Electrical Engineering, Zhejiang University, China. He received his master’s degree from University of Liverpool, Liverpool, UK, and BSC (Electrical Engineering with Hons) from NWFP University of Engineering and Technology, Peshawar, Pakistan. His research interests include evolutionary algorithms, electromagnetic computations and numerical methods for electromagnetic applications, etc.

Shiyou Yang received his BEng degree in Automatic Control Engineering from Liaoning University of Technology, China, in 1985; and MEng and PhD degrees in Electrical Engineering from Shenyang University of Technology, China, in 1990 and 1995, respectively. He has been a Professor at the College of Electrical Engineering, Zhejiang University, since 2001. Currently, his research interests include computational electromagnetics in both high- and low-frequency domains and the application of numerical techniques in electronic and electromagnetic devices. He has worked in the Department of Electrical and Computer Engineering, Duke University, USA, from November 2007 to May 2008 as a Visiting Scholar; the Department of Electrical Engineering, the Hong Kong Polytechnic University, Hong Kong, as a Postdoctoral Research Fellow, Research And Senior Research fellows from periods from September 2006 to February 2007, from September 2005 to November 2005, from March 2003 to February 2004 and from September 1999 to August 2001; and Sau Paulo State University, Brazil, from September 1998 to August 1999 as a Postdoctoral Research Fellow. So far, he has published more than 100 papers in referred international conference and journals and more than 40 in high rank international journals.

Shafi ullah Khan is currently a PhD Student in the College of Electrical Engineering, Zhejiang University, China. He obtained his master’ degree from University of Peshawar, Pakistan. His research interests include particle swarm optimization, electromagnetic computations and numerical methods for electromagnetic applications, etc.