Multi-fidelity Surrogates Modeling, Optimization and Applications /
Zhou, Qi.
Multi-fidelity Surrogates Modeling, Optimization and Applications / [electronic resource] : by Qi Zhou, Min Zhao, Jiexiang Hu, Mengying Ma. - 1st ed. 2023. - VIII, 456 p. 263 illus., 225 illus. in color. online resource. - Engineering Applications of Computational Methods, 12 2662-3374 ; . - Engineering Applications of Computational Methods, 12 .
Acceso multiusuario
Preface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks.
This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more "hands-on" manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.
9789811972102
Engineering design.
Mathematical optimization.
Engineering mathematics.
Mathematical models.
Engineering Design.
Optimization.
Engineering Mathematics.
Mathematical Modeling and Industrial Mathematics.
TA174
620.0042
Multi-fidelity Surrogates Modeling, Optimization and Applications / [electronic resource] : by Qi Zhou, Min Zhao, Jiexiang Hu, Mengying Ma. - 1st ed. 2023. - VIII, 456 p. 263 illus., 225 illus. in color. online resource. - Engineering Applications of Computational Methods, 12 2662-3374 ; . - Engineering Applications of Computational Methods, 12 .
Acceso multiusuario
Preface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks.
This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more "hands-on" manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.
9789811972102
Engineering design.
Mathematical optimization.
Engineering mathematics.
Mathematical models.
Engineering Design.
Optimization.
Engineering Mathematics.
Mathematical Modeling and Industrial Mathematics.
TA174
620.0042
