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Electronic Resource

Surrogate based modeling and optimization : applications in engineering

Koziel, Slawomir - Nama Orang; Leifsson, Leifur - Nama Orang;

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 by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses 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 to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.


Ketersediaan
#
Perpustakaan Pusat E604
E604
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
E604
Penerbit
New York : Springer., 2013
Deskripsi Fisik
viii, 412 hlm.
Bahasa
English
ISBN/ISSN
9781461475514
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
1
Subjek
Matematika Terapan
Riset Operasi
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Slawomir Koziel, Leifur Leifsson
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Surrogate-Based Modeling and Optimization : Applications in Engineering
    https://doi.org/10.1007/978-1-4614-7551-4
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