The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, 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 (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are…mehr
The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, 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 (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well.
The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields.
Dr. Maosheng Zheng received his Bachelor degree in Theoretical Physics from Northwest University, Xi'an, China, in 1983, Master degree in Electronic Physics from Xidian University, Xi'an, China, in 1985, and Ph.D. degree in Materials Science and Engineering from Northwestern Polytechnic University, Xi'an, China, in 1992. In June 1994 to June 2006, Dr. Zheng has been in School of Materials Science and Engineering, Xi'an Jiaotong University as a Professor, and since June 2006, Dr. Zheng has been in School of Chemical Engineering, Northwest University as a Professor. Dr. Zheng focuses on the research of Materials Science and Technology. His recent research interests include: material selection with multi - objective optimization, material technology, energy resource material and technology, renewable energy conversion and utilization, etc. Till 2023, Dr. Zheng has published 5 monographs (1st authored 4 monographs, Springer; 1 coauthored, Science Press) more than 300 peer-reviewed papers in international journals and conferences, chaired "863" project and many projects of Sci. & Tech. Ministry and Shaanxi Province of China. He is a Member of China Energy Society, Vice Chairman of Shaanxi Corrosion and Protection Society, and served as a Reviewer of several international journals. He was a recipient of State Council special allowance, 2nd prize of Science and Technology Progress Award of China Aviation Industry Corporation, 3rd prize of Science and Technology Progress Award of the Ministry of Education, 2nd prize of Huo Yingdong Young Teacher (Research), The 2nd Youth Science and Technology Award of Shaanxi Province, 2nd prize of the Natural Science Award of China Higher Education, respectively. Jie Yu received her Bachelor degree in polymer science & technology from Northwestern Polytechnic University, Xi'an, China, in 1987. In July 1987 to Dec. 1992, Yu worked at Xi'an Far East Machinery Manufacturing Company as an Assistant Engineer responsible for the design and processing of rubber and plastic parts; in Jan. 1993 to Sept. 2007, Yu served as an Engineer in Department of Polymer Materials of Xi'an Jiaotong University; in Sept. 2007 to Nov. 2011, Yu worked as an Engineer at College of Life Sciences of Northwest University; in Dec. 2011 to Aug. 2020, Yu worked as a Senior Engineer at College of Life Sciences of Northwest University; since August 2020, Yu served as a Professor-leveled Senior Engineer at College of Life Sciences of Northwest University. Jie Yu focuses on design of experiment and optimization, research of polymer materials and their applications in medicine. Till 2023, Yu has published more than 60 scientific research papers, 2 monograph (co-authored, Springer), chaired and completed 2 key projects of Shaanxi Province, participated in the completion of 5 national and provincial key projects, and 2 enterprise cooperation projects, obtained national invention patents 3 items, and 2 items have been transformed to serve the society, won 1 advanced worker of Northwest University, 2 science and technology awards of Shaanxi Provincial Higher Education Institutions, and 1 gold medal of Shaanxi Science and Technology Workers Innovation and Entrepreneurship Competition.
Inhaltsangabe
History and Current Status of Material Selection with Multi - objective Optimization.- Introduction to Multi - objective Optimization in Material Selections.- Fundamental Principle of Probability - Based Multi - Objective Optimization and Applications.- Robustness Evaluation with Probability-Based Multi-objective Optimization.- Extension of Probability - based Multi - objective Optimization in Condition of the Utility with Desirable Value.- Hybrids of Probability - Based Multi - Objective Optimization with Experimental Design Methodologies.- Discretization of Simplified Evaluation in Probability-Based Multi-objective Optimization by Means of GLP and Uniform Experimental Design.- Fuzzy- based Probabilistic Multi-objective Optimization.- Cluster Analyses of Multiple Objectives.- Applications of Probability - based Multi - objective Optimization beyond Material Selection.- Treatment of Portfolio Investment by Means of Probability-BasedMulti-objective Optimization.- Treatment of Multi-objective Shortest Path Problem by Means of Probability-Based Multi-objective.- Discussion on preferable probability, discretization, error analysis and hybrid of sequential uniform design with PMOO.- General Conclusions.
History and Current Status of Material Selection with Multi - objective Optimization.- Introduction to Multi - objective Optimization in Material Selections.- Fundamental Principle of Probability - Based Multi - Objective Optimization and Applications.- Robustness Evaluation with Probability-Based Multi-objective Optimization.- Extension of Probability - based Multi - objective Optimization in Condition of the Utility with Desirable Value.- Hybrids of Probability - Based Multi - Objective Optimization with Experimental Design Methodologies.- Discretization of Simplified Evaluation in Probability-Based Multi-objective Optimization by Means of GLP and Uniform Experimental Design.- Fuzzy- based Probabilistic Multi-objective Optimization.- Cluster Analyses of Multiple Objectives.- Applications of Probability - based Multi - objective Optimization beyond Material Selection.- Treatment of Portfolio Investment by Means of Probability-BasedMulti-objective Optimization.- Treatment of Multi-objective Shortest Path Problem by Means of Probability-Based Multi-objective.- Discussion on preferable probability, discretization, error analysis and hybrid of sequential uniform design with PMOO.- General Conclusions.
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