年次大会
Online ISSN : 2424-2667
ISSN-L : 2424-2667
セッションID: J0110205
会議情報
J0110205 DAKOTAとJAGUARによる最適化([J011-02]解析・設計の高度化・最適化(2))
大島 裕子松原 真己辻内 伸好小泉 孝之
著者情報
会議録・要旨集 フリー

詳細
抄録

DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit is developed by Sandia National Laboratories, and available under a GNU Lesser General Public License (LGPL). DAKOTA provides the following 4 capabilities; (1) optimization with gradient and nongradient-based methods, (2) uncertainty quantification with sampling, reliability, stochastic expansion and epistemic methods, (3) parameter estimation with nonlinear least squares methods, and (4) sensitivity/variance analysis with design of experiments and parameter study methods. JAGUAR (JAva GUi for Applied Research) is a Java software tool providing an advanced text editor and graphical user interface to manipulate DAKOTA input specifications. In this paper, we report the results of the capabilities of DAKOTA, especially optimization. DAKOTA is applied to some famous optimization examples and is verified that outputs are correct. DAKOTA is applied to the gradient-based local methods with constraints, the derivative-free global method, and multi-objective problem, to confirmative its optimal capabilities. Additionally, DAKOTA is compared with other optimal system.

著者関連情報
© 2014 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top