Engineering Design Optimization


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Engineering Design Optimization


Engineering Design Optimization

Author: Joaquim R. R. A. Martins

language: en

Publisher: Cambridge University Press

Release Date: 2021-11-18


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A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.

Surrogate Model-Based Engineering Design and Optimization


Surrogate Model-Based Engineering Design and Optimization

Author: Ping Jiang

language: en

Publisher: Springer Nature

Release Date: 2019-11-01


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This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.

Introduction to Engineering Design Optimization


Introduction to Engineering Design Optimization

Author: Chinyere Okechi Onwubiko

language: en

Publisher: Prentice Hall

Release Date: 2000


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Engineering Design Optimization is written for students who are looking to optimize their engineering designs, but are unaware of the mathematical rigor needed to address their objectives. This book addresses teaches the algorithms that are used in engineering optimization. Contains unique material on monotonicity, probabalistic design optimization, and genetic algorithms. Keeps mathematics simple, but proves theories as needed. Provides algorithms essential for optimization and encourages students to write their own computer programs.