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Probability-based multi-objective op...

Zheng, Maosheng.

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Probability-based multi-objective optimization for material selection

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability-based multi-objective optimization for material selection/ by Maosheng Zheng ... [et al.].
other author:	Zheng, Maosheng.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xv, 147 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Materials science. -
Online resource:	https://doi.org/10.1007/978-981-19-3351-6
ISBN:	9789811933516

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

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

543314
Materials science.

LC Class. No.: TA403

Dewey Class. No.: 620.112

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505 0 $a 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.
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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