Plenary Lecture
Cuckoo Search Optimization Metaheuristic Adjustment
Professor Milan Tuba
University Megatrend Belgrade
Faculty of Computer Science
Serbia
E-mail: tuba@ieee.org
Abstract: Hard optimization problems that cannot be solved within reasonable time by standard, mathematical, deterministic methods are of great practical interest. Metaheuristics inspired by nature were recently successfully used for such problems. These metaheuristics are based on random Monte-Carlo search guided by simulation of some nature intelligence, especially evolution and swarm intelligence. One of the latest swarm intelligence algorithms is the Cuckoo Search Algorithm which has not yet been investigated thoroughly. For all such nature inspired algorithms fundamental issue is balance between use of good found solutions (exploration) and investigation of new areas of the search space in order to avoid being trapped in local minima (exploration). Specific of the Cuckoo Search Algorithm is exploitation/exploration based on Lévi flight i.e. combination of short and long steps according to Lévi distribution with infinite mean and variance. This plenary lecture will concentrate on investigation of the Cuckoo Search Algorithm parameters adjustment and specifically sensitivity to Lévi distribution parameters.
Brief Biography of the Speaker: Milan Tuba is Professor of Computer Science and Provost for mathematical, natural and technical sciences at Megatrend University of Belgrade. He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph. D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. first as a graduate student and teaching and research assistant at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union Graduate School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of scientific projects and supervisor of many theses. From 1994 he was Assistant Professor of Computer Science and Director of Computer Center at University of Belgrade, from 2001 Associate Professor, Faculty of Mathematics, and from 2004 also a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He was teaching more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Image Processing, Calculus and Queuing Theory. His research interest includes mathematical, queuing theory and heuristic optimizations applied to computer networks, image processing and combinatorial problems. He is the author or coauthor of more than 130 scientific papers and coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. Member of the ACM since 1983, IEEE 1984, New York Academy of Sciences 1987, AMS 1995, WSEAS, SIAM, IFNA.