東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multi-fidelity surrogates = modeling...

Zhou, Qi.

FindBook

Google Book

Amazon

博客來

Multi-fidelity surrogates = modeling, optimization and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-fidelity surrogates/ by Qi Zhou ... [et al.].
其他題名:	modeling, optimization and applications /
其他作者:	Zhou, Qi.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	viii, 456 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks.
Contained By:	Springer Nature eBook
標題:	Engineering design - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-981-19-7210-2
ISBN:	9789811972102

Multi-fidelity surrogates = modeling, optimization and applications /
Multi-fidelity surrogatesmodeling, optimization and applications /[electronic resource] :by Qi Zhou ... [et al.]. - Singapore :Springer Nature Singapore :2023. - viii, 456 p. :ill. (some col.), digital ;24 cm. - Engineering applications of computational methods,v. 122662-3374 ;. - Engineering applications of computational methods ;v. 12..

Preface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks.

This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more "hands-on" manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.

ISBN: 9789811972102

Standard No.: 10.1007/978-981-19-7210-2doiSubjects--Topical Terms:

664363
Engineering design
--Mathematical models.

LC Class. No.: TA174

Dewey Class. No.: 620.0042

Multi-fidelity surrogates = modeling, optimization and applications /
LDR:02738nmm a2200337 a 4500 001 2314681
003 DE-He213
005 20221107044950.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789811972102 $q (electronic bk.)
020 $a 9789811972096 $q (paper)
024 7 $a 10.1007/978-981-19-7210-2 $2 doi
035 $a 978-981-19-7210-2
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a TA174
072 7 $a TBD $2 bicssc
072 7 $a TEC016020 $2 bisacsh
072 7 $a TBD $2 thema
082 0 4 $a 620.0042 $2 23
090 $a TA174 $b .M961 2023
245 0 0 $a Multi-fidelity surrogates $h [electronic resource] : $b modeling, optimization and applications / $c by Qi Zhou ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a viii, 456 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Engineering applications of computational methods, $x 2662-3374 ; $v v. 12
505 0 $a Preface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks.
520 $a This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more "hands-on" manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.
650 0 $a Engineering design $x Mathematical models. $3 664363
650 0 $a Surrogate-based optimization. $3 3626312
650 0 $a Engineering mathematics. $3 516847
650 1 4 $a Engineering Design. $3 891033
650 2 4 $a Optimization. $3 891104
650 2 4 $a Engineering Mathematics. $3 3301900
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
700 1 $a Zhou, Qi. $3 1017610
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Engineering applications of computational methods ; $v v. 12. $3 3626311
856 4 0 $u https://doi.org/10.1007/978-981-19-7210-2
950 $a Engineering (SpringerNature-11647)