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Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.6
書名/作者:	Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences/ edited by David Greiner ... [et al.].
其他作者:	Greiner, David.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xi, 522 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization
標題:	Engineering design - Congresses. - Mathematical models
標題:	Engineering.
標題:	Engineering Design.
標題:	Theoretical and Applied Mechanics.
標題:	Computational Science and Engineering.
標題:	Optimization.
ISBN:	9783319115412 (electronic bk.)
ISBN:	9783319115405 (paper)
摘要、提要註:	This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.
電子資源:	http://dx.doi.org/10.1007/978-3-319-11541-2

Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences[electronic resource] /
Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences[electronic resource] /edited by David Greiner ... [et al.]. - Cham :Springer International Publishing :2015. - xi, 522 p. :ill., digital ;24 cm. - Computational methods in applied sciences,v.361871-3033 ;. - Computational methods in applied sciences ;v.9..

This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

ISBN: 9783319115412 (electronic bk.)

Standard No.: 10.1007/978-3-319-11541-2doiSubjects--Topical Terms:

136213
Mathematical optimization

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences[electronic resource] /
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