Application of Evolutionary Algorithm in Optimization Digital Structure Design

 K.H. Chong¹ & I. B. Aris² & S. M. Bashi²

¹ Department of Physic & Science, Faculty of Engineering & Science, Setapak Campus, Universiti Tunku Abdul Rahman, Jalan Genting Klang, Setapak, 53300 Kuala Lumpur, Malaysia.

 ² Department of Electrical & Electronics Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.

Abstract:

In this paper, a method for automatic optimization of digital circuit design has been introduced. This method is based on randomized search techniques mimicking natural genetic evolution. The proposed method is an iterative procedure that consists of a constant-size population of individuals, each one encoding a possible solution in a given problem space. The structure of the circuit is encoded into one-dimensional genotype as represented by a finite string of bits. A number of bit string used to represent the possible logic gates. The structure of gates are arranged in a m * n matrix form.

Keywords: Digital structure design, Evolutionary Algorithm, Optimization, Genetic Algorithm

( Full Paper 360 KB)

Biography:

	K. H. Chong, graduated with B. Eng (Hons) in Electronics and Electrical, and M. Sc from University Putra Malaysia in Electrical Power (2000) and Electronic Engineering (2002) respectively. His current research interests include Artificial Intelligent, Evolutionary Electronic, Industrial Process Control and Automatic Control System.
	Ishak Bin Aris received his BSc in Electrical Engineering from the George Washington University, USA in 1988. He also received his MSc and PhD in Power Electronics Engineering from University of Bradford, United Kingdom in 1991 and 1995, respectively. His areas of interest include power electronics and drive system, robotic, artificial intelligence, SOC and automotive electronics.
	S.M. Bashi, graduated from University of Mosul, in Electrical and Electronics Engineering  (1969).  He received his PhD in Simulation of power transmission system from Loughborough University of Technology, England  (1980). His area of research interest includes; power system analysis and design, quality of power supply, simulation and application of power electronics systems, and machines drives.

BibTex:

@ARTICLE{P1120638001,

AUTHOR = {K.H. Chong and I. B. Aris and S. M. Bashi},

TITLE = {Application of Evolutionary Algorithm in Optimization Digital Structure Design },

JOURNAL ={ICGST  International Journal on Artificial Intelligence and Machine Learning, AIML},

}

( Full Paper 360 KB)