PROF. KENNETH DE JONG

Kenneth A. De Jong received his Ph.D. in computer science from the University of Michigan in 1975. He joined George Mason University in 1984 and is currently a Professor of Computer Science, head of the Evolutionary Computation laboratory, and the associate director of the Krasnow Institute. His research interests include genetic algorithms, evolutionary computation, machine learning, and adaptive systems. He is currently involved in research projects involving the development of new evolutionary algorithm (EA) theory, the use of EAs as heuristics for NP-hard problems, and the application of EAs to the problem of learning task programs in domains such as robotics, diagnostics, navigation and game playing. He is also interested in experience-based learning in which systems must improve their performance while actually performing the desired tasks in environments not directly their control or the control of a benevolent teacher. Support for these projects is provided by DARPA, ONR, and NRL. He is an active member of the Evolutionary Computation research community and has been involved in organizing many of the workshops and conferences in this area. He is the founding editor-in-chief of the journal Evolutionary Computation (MIT Press), and a member of the board of the ACM SIGEVO.

EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION:
A HISTORICAL VIEW OF THE FIELD

Multi-objective optimization refers to the simultaneous optimization of two or more objective functions which are normally in conflict (at least partially) with each other.
In its more general (nonlinear) form, the solution of amulti-objective optimization problem remains open. This has motivated the use of different heuristics, from which evolutionary algorithms have become the most popular in current use. This talk will provide a historical view of the field (which is now 20 years old) now known as  evolutionary multi-objective optimization (EMO) with an emphasis in algorithmic development. In the last part of the talk, some of the recent research trends will be
described, together with some of the challenges that lie ahead for those interested in this field.



 

Carlos Artemio Coello Coello received a BSc in Civil Engineering

from the Universidad Autonoma de Chiapas in Mexico in 1991 (graduating Summa Cum Laude). Then, he was awarded a

scholarship from the Mexican government to pursue graduate

studies in Computer Science at Tulane University (in the USA). He received a MSc and a PhD in Computer Science in 1993 and 1996, respectively. His PhD thesis was one of the first in the field now

called "evolutionary multiobjective
optimization".
Dr. Coello has been a Senior Research Fellow in the Plymouth Engineering Design Centre (UK) and a Visiting Professor at

DePauw University (in the USA). He is currently full professor at CINVESTAV-IPN in Mexico City, Mexico. He has published over 130 papers in international peer-reviewed journals and conferences.

He has also co-authored the book "Evolutionary Algorithms for

Solving Multi-Objective Problems" (Kluwer Academic Publishers,

2002) and has co-edited the book "Applicationsof Multi-Objective Evolutionary Algorithms (World Scientific, 2004).
He has delivered invited talks, keynote speeches and tutorials at international conferences held in Spain, USA, Canada, Switzerland, UK, Chile, Colombia, Brazil, Argentina, and Mexico.
Dr. Coello has served as a technical reviewer for over 30 international journals and for more than 40 international conferences and serves

as associate editor of the "IEEE Transactions on Evolutionary Computation" and as a member of the editorial boards of the journals "Evolutionary Computation", "Soft Computing", the "International

Journal of Computational Intelligence Research" and "Engineering Optimization". He also chairs the "Task Force on Multi-Objective Evolutionary  Algorithms" of the IEEE Computational Intelligence Society.
He is member of the Mexican Academy of Science, the  Association

for Computing Machinery, a Senior Member of the IEEE, and

member of Sigma Xi, The Scientific Research Society. He is also a member of the Council of Authors of the "International Society for Genetic and Evolutionary Computation".
His work currently reports over 600 citations in the ISI Citation Index and about 780 additional citations in other sources (i.e., PhD theses, conference papers, and books, among others). His current research interests are: evolutionarymultiobjective optimization, constraint-handling techniques for evolutionary algorithms and evolvable

hardware.