Detail publikace

Gradient vs. approximation design optimization techniques in low-dimensional convex problems

FEDORIK, F.

Originální název

Gradient vs. approximation design optimization techniques in low-dimensional convex problems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Design Optimization methods' application in structural designing represents a suitable manner for efficient designs of practical problems. The optimization techniques' implementation into multi-physical softwares permits designers to utilize them in a wide range of engineering problems. These methods are usually based on modified mathematical programming techniques and/or their combinations to improve universality and robustness for various human and technical problems. The presented paper deals with the analysis of optimization methods and tools within the frame of one to three-dimensional strictly convex optimization problems, which represent a component of the Design Optimization module in the Ansys program. The First Order method, based on combination of steepest descent and conjugate gradient method, and Supbproblem Approximation method, which uses approximation of dependent variables' functions, accompanying with facilitation of Random, Sweep, Factorial and Gradient Tools, are analyzed, where in different characteristics of the methods are observed.

Klíčová slova

constraints; Convex optimization; efficiency; FEM/FEA; First Order Method; robustness; Subproblem Approximation Method

Autoři

FEDORIK, F.

Rok RIV

2013

Vydáno

21. 9. 2013

ISBN

978-0-7354-1184-5

Kniha

ICNAAM 2013

ISSN

0094-243X

Periodikum

AIP conference proceedings

Ročník

1558

Číslo

2

Stát

Spojené státy americké

Strany od

2175

Strany do

2178

Strany počet

4

BibTex

@inproceedings{BUT107571,
  author="Filip {Fedorik}",
  title="Gradient vs. approximation design optimization techniques in low-dimensional convex problems",
  booktitle="ICNAAM 2013",
  year="2013",
  journal="AIP conference proceedings",
  volume="1558",
  number="2",
  pages="2175--2178",
  isbn="978-0-7354-1184-5",
  issn="0094-243X"
}