Probability-Based Multi-objective Optimization for Material Selection

Probability-Based Multi-objective Optimization for Material Selection

EnglishHardback
Zheng, Maosheng
Springer Verlag, Singapore
EAN: 9789811933509
Unavailable at the publisher, title sold out
Unknown delivery date
CZK 2,633
Common price CZK 2,925
Discount 10%
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available
Oxford Bookshop Liberec
not available

Detailed information

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies, such as response surface methodology, orthogonal experimental design, and uniform experimental design, are all performed; the conditions of the material performance utility with desirable value and robust assessment are included; the discretization treatment of complicated integral in the evaluation is presented.

The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone.

This book can be used as a textbook for postgraduate and advanced undergraduate students in material relevant majors, and a reference book for scientists and engineers digging in the related fields.

EAN 9789811933509
ISBN 9811933502
Binding Hardback
Publisher Springer Verlag, Singapore
Publication date August 13, 2022
Pages 147
Language English
Dimensions 235 x 155
Country Singapore
Readership Professional & Scholarly
Authors Cui Ying; Teng, Haipeng; Wang Yi; Yu, Jie; Zheng, Maosheng
Illustrations XV, 147 p. 17 illus., 2 illus. in color.
Edition 1st ed. 2023