EVOLVE International Conference

EVOLVE 2014 July 1-4
Beijing, China

HomeInvited speakers

Invited Speakers

The following keynote speakers will give talks during the three EVOLVE days (see below for detailed biographies):

Kalyanmoy Deb   Michigan State University, USA
Michael Dellnitz   University of Paderborn, Germany [CANCELED]
Thomas Stuetzle   Université Libre de Bruxelles (ULB), Belgium
Li-Ming Wu   Chinese Academy of Sciences [CANCELED]

 


 

Kalyanmoy Deb 

Michigan State University, USA

Kalyanmoy Deb

 

Title: Uncertainty Handling using Evolutionary Multi-Objective Optimization
Speaker: Kalyanmoy Deb, Koenig Endowed Chair Professor, Michigan State
University, USA
Abstract:
For the past two decades, multi-objective optimization has been recognized as an important practical tool due to the flexibility in their solution procedures using evolutionary computing methods. One of the practicalities often faced by any optimization activity is handling of uncertainties in decision variables and parameters. In this talk, we suggest different ways to handle epistemic and aleatory uncertainties using an evolutionary multi-objective optimization (EMO) procedure and probability based methodologies. The talk will first introduce basic principles of an EMO procedure and then highlight some recent uncertainty handling procedures using EMO. A few engineering case studies will be discussed.

 

Bio-sketch of Kalyanmoy Deb:
Kalyanmoy Deb is Koenig Endowed Chair Professor at Electrical and Computer Engineering in Michigan State University, USA. Prof. Deb's research interests are in evolutionary optimization and their application in optimization, modeling, and machine learning, particularly in evolutionary multi-criterion optimization (EMO). He was awarded `Infosys Prize', `TWAS Prize' in Engineering Sciences, `CajAstur Mamdani Prize', `Distinguished Alumni Award' from IIT Kharagpur, 'Edgeworth-Pareto' award, and Bhatnagar Prize in Engineering Sciences for his pioneering studies in EMO. He is fellow of IEEE, ASME, and three science academies in India. He has published 370+ research papers with Google Scholar citation of 60,000+ with h-index 83. He is in the editorial board on 18 major international journals. More information about his research contribution can be found from http://www.egr.msu.edu/~kdeb.

 

 

Michael Dellnitz [CANCELED]

University of Paderborn, Germany

MichaelDellnitz

Biography: Prof. Dr. Michael Dellnitz graduated as Diplom-Mathematiker in 1986 at the University of Hamburg, Germany. In 1989 he obtained his PhD in Mathematics at the University of Hamburg, Germany. He was Hochschulassistent at the Institute of Applied Mathematics, University of Hamburg, Germany, from 1989 to 1997 (on leave since 1995). From 1995 to 1998 he was Professor (C3) for Applied Mathematics at the University of Bayreuth, Germany, and since 1998 he has held the position of Chair of Applied Mathematics (C4) at the University of Paderborn, Germany. During the last nine years he has received three offers for full professorships (International University Bremen, Germany (2001), Freie Universitaet Berlin, Germany (2004), University of New South Wales, Sydney, Australia (2007), all not realized).

From 1990 to 1992 he received two research awards from the German Research Foundation (DFG), he was a Fellow of the Konrad Zuse Institute Berlin from 1994 to 1998, and in 1996 he was granted a Heisenberg award by the DFG. In 2007 he received the UTC Senior Vice President Special Award 2006 from United Technologies. In 2010 he received the Honorary Fellowship of the European Society of Computational Methods in Science and Engineering, and since 2013 he is member of the Scientific Advisory Council of the Konrad Zuse Institute Berlin.

Prof. Dellnitz is Chairman of the Paderborn Institute for Scientific Computation (PaSCo) at the University of Paderborn. He has been Director of the DFG Research Training Group 693 Scientific Computation: Application-oriented Modelling and Development of Algorithms, and is Chairman of the Institute for Industrial Mathematics (IFIM) at the University of Paderborn. He is a member of the International Graduate School on Dynamical Intelligent Systems and Board member of the Paderborn Institute for Advanced Studies in Computer Science and Engineering. In 2010 he has held a John von Neumann Visiting Professorship at the Technische Universitaet Muenchen. He led projects within the DFG CRC 614 (Self-optimizing Concepts and Structures in Mechanical Engineering) at the University of Paderborn, the EU RTN AstroNet the Centre of Excellence Hochschuldidaktik Mathematik funded by Stiftung Mercator and VolkswagenStiftung, and further projects funded by BMBF and industrial partners. Currently, he is leading projects within the Leading-Edge Cluster "Intelligent Technical Systems" funded by the Federal Ministry of Education and Research.

Prof. Dellnitz is Editor in Chief of the "Journal of Computational Dynamics", member of the Advisory Board of the Springer Series Texts in Applied Mathematics, member of the Editorial Board of the Elsevier Astrodynamics Book Series and member of the Editorial Boards of the journals Dynamical Systems: An International Journal, SIAM Journal, International Journal of Computing Science and Mathematics, and Discrete and Continuous Dynamical Systems - Series B. He is a referee for the DFG, EPSRC (England), NSERC (Canada), NSF (USA), and several international journals.

 

Thomas Stuetzle

Université Libre de Bruxelles

thBiography: Dr. Stützle is a senior research associate of the Belgian F.R.S.-FNRS working at the IRIDIA laboratory of Université libre de Bruxelles (ULB), Belgium. He received the Diplom (German equivalent of M.S. degree) in business engineering from the Universität Karlsruhe (TH), Karlsruhe, Germany in 1994, and his PhD and his habilitation in computer science both from the Computer Science Department of Technische Universität Darmstadt, Germany in 1998 and 2004, respectively. He is the co-author of two books about ``Stochastic Local Search: Foundations and Applications'' and ``Ant Colony Optimization'' and he has extensively published in the wider area of metaheuristics including 19 edited proceedings or books, 8 journal special issues, and more than 170 journal, conference articles and book chapters, many of which are highly cited. He is associate editor of Computational Intelligence and Swarm Intelligence and on the editorial board of six other journals. His main research interests are in metaheuristics, swarm intelligence, methodologies for engineering stochastic local search algorithms, multi-objective optimization, and automatic algorithm configuration.

Title: Automated Algorithm Configuration: Beyond Parameter Tuning
Abstract: The design and configuration of optimization algorithms for computationally hard problems is a time-consuming and difficult task. This is in large part due to a number of aggravating circumstances such as the NP-hardness of most of the problems to be solved, the difficulty of algorithm analysis due to stochasticity and heuristic biases, and the large number of degrees of freedom in defining and selecting algorithmic components and settings of numerical parameters. Over the recent years, automatic algorithm configuration methods have been developed to effectively search large configuration spaces for superior algorithm designs. These methods have by now proved to be instrumental for developing high-performance algorithms.
 
In this talk, we will describe the main automatic algorithm configuration techniques, present the main available configuration tools and highlight various successful applications of automatic algorithm configuration to the generation of hybrid stochastic local search algorithms, the design of multi-objective optimizers, and the improvement of algorithm anytime behavior. Finally, I will argue that automatic algorithm configuration will transform the way heuristic algorithms are designed and developed in the future.

 

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