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Probability-based multi-objective optimization for material selection

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probability-based multi-objective optimization for material selectionby Maosheng Zheng ... [et al.].
其他作者:	Zheng, Maosheng.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xv, 147 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Materials science.
電子資源:	https://doi.org/10.1007/978-981-19-3351-6
ISBN:	9789811933516$q(electronic bk.)

Probability-based multi-objective optimization for material selection
Probability-based multi-objective optimization for material selection[electronic resource] /by Maosheng Zheng ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 147 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Probability-Based Multi-Objective Optimization and Applications -- Chapter 3. Extension in Condition of the Utility with Interval Number -- Chapter 4. Extension in Condition of the Utility with Desirable Value -- Chapter 5. Combination of Probability-Based Multi-Objective Optimization with Test Design Methods -- Chapter 6. Application of Regression Analysis in the Probability-Based Multi-Objective Optimization -- Chapter 7. Concluding Remarks.

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.

ISBN: 9789811933516$q(electronic bk.)

Standard No.: 10.1007/978-981-19-3351-6doiSubjects--Topical Terms:

221779
Materials science.

LC Class. No.: TA403

Dewey Class. No.: 620.112

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520 $a 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.
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