Editorial—surrogate modeling and space mapping for engineering optimization
نویسندگان
چکیده
منابع مشابه
Editorial—surrogate modeling and space mapping for engineering optimization
Advances in optimization technology, a cornerstone in engineering modeling, simulation-based design and manufacturing, continue to push back the boundaries of feasibility. Multi-disciplinary optimization continues to show success. Notwithstanding advances in computing power and user-friendly management of multidisciplinary software, challenging problems will undoubtedly continue to plague the d...
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We review the Space Mapping (SM) concept and its applications in engineering optimization and modeling. The aim of SM is to avoid computationally expensive calculations encountered in simulating an engineering system. The existence of less accurate but fast physically-based models is exploited. SM drives the optimization iterates of the time-intensive model using the fast model. Several algorit...
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In this paper, using the neural space mapping (NSM) concept, we present a SPICE-compatible modeling technique to modify the conventional MOSFET equations, to be suitable for ballistic carbon nanotube transistors (CNTTs). We used the NSM concept in order to correct conventional MOSFET equations so that they could be used for carbon nanotube transistors. To demonstrate the accuracy of our mod...
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Physical systems can be modeled at many levels of approximation The right model de pends on the problem to be solved In many cases a combination of models will be more e ective than a single model alone Our research investigates this idea in the context of en gineering design optimization We present a family of strategies that use multiple models for unconstrained optimization of engineering de...
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ژورنال
عنوان ژورنال: Optimization and Engineering
سال: 2008
ISSN: 1389-4420,1573-2924
DOI: 10.1007/s11081-008-9043-5