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Special Session
Special Session on
Computationally Efficient Simulation-Driven Engineering Design Optimization and Modeling
 - SDDOM 2013

29 - 31 July, 2013 - Reykjavík, Iceland

Within the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH 2013


Slawomir Koziel
Reykjavik University

Brief Bio
Slawomir Koziel received the M.Sc. and Ph.D. degrees in electronic engineering from Gdansk University of Technology, Poland, in 1995 and 2000, respectively. He also received the M.Sc. degrees in theoretical physics and in mathematics, in 2000 and 2002, respectively, as well as the PhD in mathematics in 2003, from the University of Gdansk, Poland. He is currently an Associate Professor with the School of Science and Engineering, Reykjavik University, Iceland. His research interests include CAD and modeling of microwave circuits, simulation-driven design, surrogate-based optimization, space mapping, circuit theory, analog signal processing, evolutionary computation and numerical analysis.
Leifur Leifsson
Reykjavik University

Brief Bio
Leifur Leifsson is currently an Associate Professor with the School of Science and Engineering at Reykjavik University, Iceland. Leifur received a Ph.D. in Aerospace Engineering from Virginia Tech in 2006. His research interests include computational and experimental aerodynamics, multidisciplinary design optimization, surrogate-based optimization, and unmanned vehicle design.


The use of computer simulations is ubiquitous in contemporary engineering design. High-fidelity numerical models are very accurate but, at the same time, computationally expensive and inherently noisy. Depending on the structure complexity and required accuracy level, evaluation time for a single design can take hours, days or even weeks. Therefore, direct use of high-fidelity simulations in the optimization loop may be prohibitive. On the other hand, in many cases, simulation-driven design is the only option due to complexity of the structure under consideration and the lack of analytical models and/or systematic design procedures. In such instances, computationally efficient design can be performed using surrogate-based optimization (SBO), where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation, a surrogate. The surrogate model can be created using various approximation schemes. The surrogate can also be knowledge-based, i.e., constructed from the low-fidelity model that enjoys the same physics as the high-fidelity one. One of the important goals of SBO procedures is to reduce the number of high-fidelity model evaluations, and, consequently, to lower the overall optimization cost. The special session will focus on reviewing state-of-the-art and promoting new directions of surrogate-based and knowledge-based design optimization and modeling methodologies exploiting computer simulations as well as their applications in various fields of science and engineering. This is a third edition of the SDDOM event. The first one took place during SIMULTECH 2011, the second during SIMULTECH 2012; both attracted a number of high-quality papers and presenters.

Topics of Interest
Topics of interest include, but are not limited to:

  • Computationally efficient optimization of expensive objective functions;
  • Simulation-driven design;
  • Function-approximation-based and physics-based surrogate models;
  • Surrogate-based modeling and optimization;
  • Multi-fidelity and variable-resolution analysis and optimization;
  • Knowledge-based methods;
  • Response surface approximation, space mapping, and response correction techniques;
  • Multidisciplinary design and optimization;
  • Adjoint sensitivities in simulation-driven design;
  • Software architectures for optimization-oriented design;
  • Application case studies.
Special Session Program Committee

Xin-She Yang, Middlesex University, United Kingdom