Simulation-Based Optimization Techniques for Computationally Expensive Engineering Design Problems

Special Issue of

International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO)
(www.inderscience.com/ijmmno)

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. Therefore, direct use of high-fidelity simulations in the optimization loop may be prohibitive. On the other hand, simulation-driven design is the only option in many cases 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 enjoying the same physics as the high-fidelity one. One of the goals of SBO is to reduce the number of high-fidelity model evaluations, and, consequently, to lower the optimization cost.

This special issue of the International Journal of Mathematical Modelling and Numerical Optimisation (www.inderscience.com/ijmmno) focuses on the current state of the art and promotes new directions of surrogate-based and knowledge-based methodologies for efficient optimization of computationally expensive engineering problems.

Topics 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 analysis and optimization;
• Knowledge-based methods;
• Response surface approximation, space mapping, and response correction techniques;
• Application case studies.

This special issue will appear in November 2011. Manuscripts should conform to the requirements for regular papers of IJMMNO. All submitted papers will be peer-reviewed. Authors wishing to have their contribution considered for this issue should submit their contribution in PDF format before December 1, 2010 to the guest editors.

Guest editors: Slawomir Koziel and Leifur Leifsson


Slawomir Koziel
Engineering Optimization & Modeling Center
School of Science and Engineering
Reykjavik University
Menntavegur 1
101 Reykjavik, Iceland
E-mail: koziel@ru.is

Leifur Leifsson
Laboratory for Unmanned Vehicles
School of Science and Engineering
Reykjavik University
Menntavegur 1
101 Reykjavik, Iceland
E-mail: leifurth@ru.is