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Tutorials: Nov 13, 2011, Shanghai, China
Main Conference: Nov 14-17, 2011, Shanghai, China
Workshops: Nov 18, 2011, Hangzhou, China
 
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Special Session on Evolutionary Design and Optimisation

Organizers:

A/Prof. Ruhul Sarker
Associate Professor and Deputy Head of School (Research) in the School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, Australia.
E-mail: r.sarker@adfa.edu.au


Dr. Mao-Lin Tang
Faculty of Science and Technology, Queensland University of Technology, Australia.
E-mail: m.tang@qut.edu.au


Description:

Evolutionary design and optimisation investigates how to use evolutionary computation techniques to solve the large-scale and complex real-world design and optimisation problems in various domains. In the past decade, a large number of research articles on evolutionary design and optimisation have been published. The purpose of this special session is to attract high quality papers and researchers, in this area of research, to the International Conference on Neural Information Processing.

As of the literature, evolutionary computation techniques, including genetic algorithms, evolutionary programming, evolutionary strategies, differential evolution, genetic programming, ant colony optimisation, particle warm optimisation, artificial immune systems, and memetic algorithms, have achieved tremendous success and generated huge attention among the researchers and practitioners for dealing with design and optimisation. This special session aims to disseminate the most recent advances of evolutionary computation techniques in design and optimisation, and to facilitate the discussion among the researchers in this area.

Topics of interest include but not limited to:

  • Network design and optimisation
  • Service development
  • Resource allocation
  • Task scheduling
  • Load balance
  • Energy-efficient computing
  • Job assignment
  • Facility planning
  • Routing
  • Placement
  • Real world applications
Biographies:

        A/Prof. Ruhul Sarker

        Ruhul A Sarker obtained his Ph.D. from DelTech, Dalhousie University, Canada in 1992. Currently he as an Associate Professor and Deputy Head of School (Research) in the School of Engineering and Information Technology, University of New South Wales at ADFA, Canberra, Australia. A/Prof. Sarker’s research interests are on evolutionary optimization and operations research. He has 180+ refereed publications including 61 are journal papers, 9 articles in lecture notes, 22 book chapters, and 88 conference proceedings papers.

        A/Prof. Sarker is an editor of the Journal of Flexible Service and Manufacturing, an associate editor of the Journal of Memetic Computing, an editorial board member of the International Journal of Applied Evolutionary Computation, and the editor-in-chief of ASOR Bulletin. He had led the technical committee for IEEE Congress on Evolutionary Computation in 2003. He is a member of the task forces for promoting multiobjective evolutionary optimisation and memetic computing as operated by IEEE Computational Intelligence Society.

        A/Prof. Sarker is the lead author of the book ‘Optimization Modelling: A Practical Approach?published by Taylor & Francis /CRC Press. He has edited /co-edited 8 books, on specialised topics in his areas of research, published by the leading publishers. His research has received a number of international media coverage. Some of these media are: Wall Street Journal, ScienceDaily, United Press International (UPI), Times of the Internet, TerraDaily, MarketWatch, EcoEarth, Eurocean, Softpedia, Oneindia, ScienceBlog.

        For further details, visit his website: http://seit.unsw.adfa.edu.au/staff/sites/rsarker/


        Dr. Mao-Lin Tang

        Dr. Mao-Lin Tang is a Senior Lecturer in the Discipline of Computer Science, Faculty of Science and Technology, Queensland University of Technology, Australia. He received a PhD from Edith Cowan University, Australia in 2000.

        Dr. Tang’s active research areas include Evolutionary Computation and Optimisation. He has a PC member of a number of international conferences, and a reviewer of many prestigious international journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man and Cybernetics ?Part B and Part C. In addition, he has been an assessor (IntReader) of Australian Research Council (ARC) since 2005. He has co-organised an International Workshop on Evolutionary Design Automation in 2007. He is a senior member of IEEE.

        Dr. Tang has supervised a number of PhD students as a principal supervisor and published 50+ full papers in refereed journals, such as IEEE Transactions on Systems, Man and Cybernetics ?Part B and Future Generation Computation Systems, and in the proceedings of top international conferences in the areas of Evolutionary Computation, such as the IEEE Congress on Evolutionary Computation (IEEE CEC), the Genetic and Evolutionary Computation Conference (GECCO) , and IEEE World Congress on Computational Intelligence.

        For further details, visit his website: http://sky.fit.qut.edu.au/~tangm/


 
         
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