Probability-Based Multi-objective Optimization for Material Selection
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Beschreibung
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.
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.
Illuminates a new method for assessing multi-objective optimization with application examples
Opens a new way for material selection, multi-objective orthogonal experimental design and uniform experimental design
Involves no personal or other subjective coefficients in the new method
Autor*in
Maosheng Zheng
Themen in »Probability-Based Multi-objective Optimization for Material Selection«
Preferable Probability Material Selection Quantitative Assessment Multi-objective Optimization Probability Theory