Solving Computationally Expensive Engineering Problems: by Slawomir Koziel, Leifur Leifsson, Xin-She Yang

By Slawomir Koziel, Leifur Leifsson, Xin-She Yang

Computational complexity is a significant bottleneck for the layout technique in almost any engineering quarter. whereas migration from prototyping and experimental-based layout validation to verification utilizing computing device simulation types is inevitable and has a number of benefits, excessive computational expenditures of actual, high-fidelity simulations could be a significant factor that slows down the improvement of computer-aided layout methodologies, rather these exploiting automatic layout development techniques, e.g., numerical optimization. the continual bring up of obtainable computational assets doesn't regularly translate into shortening of the layout cycle as a result of the becoming call for for greater accuracy and necessity to simulate greater and extra advanced platforms. exact simulation of a unmarried layout of a given process will be so long as numerous hours, days or perhaps weeks, which frequently makes layout automation utilizing traditional tools impractical or maybe prohibitive. extra difficulties comprise numerical noise usually found in the simulation facts, attainable presence of a number of in the neighborhood optimal designs, in addition to a number of conflicting goals. during this edited ebook, a number of options which may alleviate fixing computationally dear engineering layout difficulties are provided. probably the most promising techniques is using quick substitute versions, so-called surrogates, that reliably characterize the pricy, simulation-based version of the system/device of curiosity yet they're much more affordable and analytically tractable. the following, a gaggle of foreign specialists summarize fresh advancements within the zone and show functions in a variety of disciplines of engineering and technology. the most function of the paintings is to supply the fundamental suggestions and formulations of the surrogate-based modeling and optimization paradigm, in addition to speak about proper modeling thoughts, optimization algorithms and layout methods. as a result, this e-book could be necessary to researchers and engineers from any self-discipline the place computationally heavy simulations are used day-after-day within the layout process.

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Southpointe, 275 Technology Drive, Canonsburg, PA 15317 (2011) 28. FLUENT, ver. , Southpointe, 275 Technology Drive, Canonsburg, PA 15317 (2011) 29. : Parallel-coupled microstrip filters with over-coupled end stages for suppression of spurious responses. IEEE Microw. Wirel. Comput. Lett. 13, 440–442 (2003) 30. RT/duroid® 5870/5880 High Frequency Laminates, Data Sheet, Rogers Corporation, Publication #92-101 (2010) 31. : Generalized shape-preserving response prediction for accurate modeling of microwave structures.

Is © Springer International Publishing Switzerland 2014 S. Koziel et al. 1007/978-3-319-08985-0__2 25 26 S. Koziel and L. Leifsson Keywords Microwave engineering • Aerodynamic optimization • Surrogate modeling • Surrogate-based optimization • Shape-preserving response prediction 1 Introduction Computer simulations are one of the most important tools in contemporary science and engineering. , climate models), simulations are used to describe the behavior, evaluate the performance, and validate designs.

Comput. 14, 199–222 (2004) 9. : EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art. IEEE Trans. Microw. Theory Tech. 52, 420–435 (2004) 10. : A trust region framework for managing use of approximation models in optimization. Struct. Multidiscip. Optim. 15(1), 16–23 (1998) 11. : The state of the art of microwave CAD: EM-based optimization and modeling. Int. J. RF Microw. Comput. Aided Eng. 20, 475–491 (2010) 12. : Space mapping and defect correction.

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