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Special Session

Special Session on Computationally Efficient
Simulation-Driven Engineering Design Optimization and Modeling - SDDOM 2011
Slawomir Koziel
Reykjavik University

Leifur Leifsson
Reykjavik University
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.
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
All accepted papers will be published in a special section of the proceedings book, under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/). SciTePress is member of CrossRef (http://www.crossref.org/).