Contemporary engineering design is heavily based on computer
simulations. Accurate, high-fidelity simulations are used not only
for design verification but, even more importantly, to adjust
parameters of the system to have it meet given performance
requirements. Unfortunately, accurate simulations are often
computationally very expensive with evaluation times as long as
hours or even days per design, making design automation using
conventional methods impractical. These and other problems can be
alleviated by the development and employment of so-called
surrogates that reliably represent the expensive, simulation-based
model of the system or device of interest but they are much more
reasonable and analytically tractable.
This volume features surrogate-based modeling and optimization
techniques, and their applications for solving difficult and
computationally expensive engineering design problems. It begins
bypresentingthe basic concepts and formulations of the
surrogate-based modeling and optimization paradigm and
thendiscusses relevant modeling techniques, optimization algorithms
and design procedures, as well as state-of-the-art developments.
The chapters are self-contained with basic concepts and
formulations along with applications and examples. The book will be
useful toresearchers in engineering and mathematics, in particular
those who employ computationally heavy simulations in their design
work.
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