2014年演变算法国际会议（EVOLVE 2014）_门票优惠

The aim of the EVOLVE international conference is to build a bridge between probability, statistics, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects.

The event is also intended to foster a growing interest for robust and efficient new methods with a sound theoretical background and, last but not least, to unify theory-inspired methods and cutting-edge techniques that ensure performance guarantees. By gathering researchers with different backgrounds, e.g. ranging from computer science to mathematics, statistics and physics, to name just a few, a unified view and vocabulary can emerge where theoretical advancements may echo in different domains.

The wide use and large applicability spectrum of evolutionary algorithms in real-life applications also determined a need for establishing solid theoretical grounds. Only to offer one example, one may consider mathematical objects that are sometimes difficult and/or costly to calculate; acknowledged new results shown that evolutionary algorithms can, in some cases, act as good and fast estimators. Similarly, the handling of large quantities of data may require the use of distributed environments where the probability of failure and the stability of the algorithms may need to be addressed.

What is more, common practice confirms in many cases that theory-based results have the advantage of ensuring performance guarantee factors for evolutionary algorithms in areas as diverse as optimization, bio-informatics or robotics. Summarizing, EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and practice, thus aiming to provide a unified view while, at the same time, raising questions related to reliability, performance guarantees and modeling.

Kalyanmoy Deb
Michigan State University, USA

Kalyanmoy Deb
Biography: Kalyanmoy Deb is Koenig Endowed Chair Professor at the Department of Electrical and Computer Engineering in Michigan State University (MSU), East Lansing, USA. He also holds a professor position at the Department of Computer Science and Engineering, and at the Department of Mechanical Engineering in MSU. Prof. Deb's main research interests are in genetic and evolutionary optimization algorithms and their application in optimization, modeling, and machine learning. He is largely known for his seminal research in developing and applying Evolutionary Multi-Criterion Optimization. Prior to coming to MSU, he was holding an endowed chair professor position at Indian Institute of Technology Kanpur, India, where he established KanGAL (http://www.iitk.ac.in/kangal) to promote research in genetic algorithms and multi-criterion optimization. His Computational Optimization and Innovation (COIN) Laboratory (http://www.egr.msu.edu/~kdeb) at Michigan
State University will continue to act in the same spirit. He has consulted with various industries and software companies in the past. Prof. Deb was awarded the prestigious `Infosys Prize' in 2012, `TWAS Prize' in Engineering Sciences in 2012, `CajAstur Mamdani Prize' in 2011, `JC Bose National Fellowship' in 2011, `Distinguished Alumni Award' from IIT Kharagpur in 2011, 'Edgeworth-Pareto' award in 2008, Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2005, `Thomson Citation Laureate Award' from Thompson Reuters. Recently, he has been awarded a Honarary Doctorate from University of Jyvaskyla, Finland. His 2002 IEEE-TEC NSGA-II paper is judged as the Most Highly Cited paper and a Current Classic by Thomson Reuters having more than 4,200+ citations. He is a fellow of IEEE, Indian National Science Academy (INSA), Indian National Academy of Engineering (INAE), Indian Academy of Sciences
(IASc), and International Society of Genetic and Evolutionary Computation (ISGEC). He has written two text books on optimization and more than 350+ international journal and conference research papers with Google Scholar citations of 54,500+ with h-index of 77. He is in the editorial board on 20 major international journals. More information about his research can be found from http://www.egr.msu.edu/~kdeb.

Michael Dellnitz
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.

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May 15 - June 30:490

after June 30:540

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会议标签：

数学/力学

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