Probability-Based Multi-objective Optimization for Material Selection (1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2023
First published:	2023
Authors:	Maosheng Zheng • Haipeng Teng • Jie Yu • Ying Cui • Yi Wang
Dimensions:	235 x 155mm (L x W)
Pages:	147
Edition:	1st ed. 2023
ISBN-13:	978-981-19-3353-0
Categories:	Books
LSN:	981-19-3353-7
Barcode:	9789811933530

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