Engineering Design Via Surrogate Modelling

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Engineering Design via Surrogate Modelling

Alexander Forrester,András Sobester,Andy Keane
Engineering Design via Surrogate Modelling Book PDF

Author : Alexander Forrester,András Sobester,Andy Keane
Publisher : John Wiley & Sons
Page : 228 pages
File Size : 40,7 Mb
Release : 2008-09-15
Category : Technology & Engineering
ISBN : 9780470770795

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Engineering Design via Surrogate Modelling by Alexander Forrester,András Sobester,Andy Keane Pdf

Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimized efficiently. Engineering Design via Surrogate Modelling is a self-contained guide to surrogate models and their use in engineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in a manner accessible to novices in the field. Figures are used liberally to explain the key concepts and clearly show the differences between the various techniques, as well as to emphasize the intuitive nature of the conceptual and mathematical reasoning behind them. More advanced and recent concepts are each presented in stand-alone chapters, allowing the reader to concentrate on material pertinent to their current design problem, and concepts are clearly demonstrated using simple design problems. This collection of advanced concepts (visualization, constraint handling, coping with noisy data, gradient-enhanced modelling, multi-fidelity analysis and multiple objectives) represents an invaluable reference manual for engineers and researchers active in the area. Engineering Design via Surrogate Modelling is complemented by a suite of Matlab codes, allowing the reader to apply all the techniques presented to their own design problems. By applying statistical modelling to engineering design, this book bridges the wide gap between the engineering and statistics communities. It will appeal to postgraduates and researchers across the academic engineering design community as well as practising design engineers. Provides an inclusive and practical guide to using surrogates in engineering design. Presents the fundamentals of building, selecting, validating, searching and refining a surrogate model. Guides the reader through the practical implementation of a surrogate-based design process using a set of case studies from real engineering design challenges. Accompanied by a companion website featuring Matlab software at http://www.wiley.com/go/forrester

Surrogate Model-Based Engineering Design and Optimization

Ping Jiang,Qi Zhou,Xinyu Shao
Surrogate Model Based Engineering Design and Optimization Book PDF

Author : Ping Jiang,Qi Zhou,Xinyu Shao
Publisher : Springer Nature
Page : 240 pages
File Size : 44,7 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9789811507311

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Surrogate Model-Based Engineering Design and Optimization by Ping Jiang,Qi Zhou,Xinyu Shao Pdf

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.

Surrogates

Robert B. Gramacy
Surrogates Book PDF

Author : Robert B. Gramacy
Publisher : CRC Press
Page : 560 pages
File Size : 45,6 Mb
Release : 2020-03-10
Category : Mathematics
ISBN : 9781000766202

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Surrogates by Robert B. Gramacy Pdf

Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are meta-models of computer simulations, used to solve mathematical models that are too intricate to be worked by hand. Gaussian process (GP) regression is a supremely flexible tool for the analysis of computer simulation experiments. This book presents an applied introduction to GP regression for modelling and optimization of computer simulation experiments. Features: • Emphasis on methods, applications, and reproducibility. • R code is integrated throughout for application of the methods. • Includes more than 200 full colour figures. • Includes many exercises to supplement understanding, with separate solutions available from the author. • Supported by a website with full code available to reproduce all methods and examples. The book is primarily designed as a textbook for postgraduate students studying GP regression from mathematics, statistics, computer science, and engineering. Given the breadth of examples, it could also be used by researchers from these fields, as well as from economics, life science, social science, etc.

Surrogate-Based Modeling and Optimization

Slawomir Koziel,Leifur Leifsson
Surrogate Based Modeling and Optimization Book PDF

Author : Slawomir Koziel,Leifur Leifsson
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 54,6 Mb
Release : 2013-06-06
Category : Mathematics
ISBN : 9781461475514

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Surrogate-Based Modeling and Optimization by Slawomir Koziel,Leifur Leifsson Pdf

Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

Engineering Design Optimization

Joaquim R. R. A. Martins,Andrew Ning
Engineering Design Optimization Book PDF

Author : Joaquim R. R. A. Martins,Andrew Ning
Publisher : Cambridge University Press
Page : 652 pages
File Size : 43,7 Mb
Release : 2021-11-18
Category : Mathematics
ISBN : 9781108833417

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Engineering Design Optimization by Joaquim R. R. A. Martins,Andrew Ning Pdf

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

Surrogate Modeling for High-Frequency Design: Recent Advances

Slawomir Koziel,Anna Pietrenko-Dabrowska
Surrogate Modeling for High Frequency Design Recent Advances Book PDF

Author : Slawomir Koziel,Anna Pietrenko-Dabrowska
Publisher : World Scientific Publishing Europe Limited
Page : 398 pages
File Size : 43,5 Mb
Release : 2021
Category : Technology & Engineering
ISBN : 1800610742

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Surrogate Modeling for High-Frequency Design: Recent Advances by Slawomir Koziel,Anna Pietrenko-Dabrowska Pdf

"Contemporary high-frequency engineering design heavily relies on full-wave electromagnetic (EM) analysis. This is primarily due to its versatility and ability to account for phenomena that are important from the point of view of system performance. Unfortunately, versatility comes at the price of a high computational cost of accurate evaluation. Consequently, utilization of simulation models in the design processes is challenging although highly desirable. Surrogate Modeling for High-Frequency Design presents a selection of works representing recent advancements in surrogate modeling and their applications to high-frequency design. Some chapters provide a review of specific topics such as neural network modeling of microwave components, while others describe recent attempts to improve existing modeling methodologies. Furthermore, the book features numerous applications of surrogate modeling methodologies to design optimization and uncertainty quantification of antenna, microwave, and analog RF circuits"--

Computational Optimization, Methods and Algorithms

Slawomir Koziel,Xin-She Yang
Computational Optimization Methods and Algorithms Book PDF

Author : Slawomir Koziel,Xin-She Yang
Publisher : Springer
Page : 292 pages
File Size : 46,8 Mb
Release : 2011-06-17
Category : Technology & Engineering
ISBN : 9783642208591

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Computational Optimization, Methods and Algorithms by Slawomir Koziel,Xin-She Yang Pdf

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.

Real-World Applications of Genetic Algorithms

Olympia Roeva
Real World Applications of Genetic Algorithms Book PDF

Author : Olympia Roeva
Publisher : BoD – Books on Demand
Page : 379 pages
File Size : 54,8 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9789535101468

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Real-World Applications of Genetic Algorithms by Olympia Roeva Pdf

The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc.

Knowledge Incorporation in Evolutionary Computation

Yaochu Jin
Knowledge Incorporation in Evolutionary Computation Book PDF

Author : Yaochu Jin
Publisher : Springer
Page : 543 pages
File Size : 52,6 Mb
Release : 2013-04-22
Category : Mathematics
ISBN : 9783540445111

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Knowledge Incorporation in Evolutionary Computation by Yaochu Jin Pdf

Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.

Evolutionary Computation in Dynamic and Uncertain Environments

Shengxiang Yang,Yew-Soon Ong,Yaochu Jin
Evolutionary Computation in Dynamic and Uncertain Environments Book PDF

Author : Shengxiang Yang,Yew-Soon Ong,Yaochu Jin
Publisher : Springer
Page : 605 pages
File Size : 47,5 Mb
Release : 2007-04-03
Category : Technology & Engineering
ISBN : 9783540497745

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Evolutionary Computation in Dynamic and Uncertain Environments by Shengxiang Yang,Yew-Soon Ong,Yaochu Jin Pdf

This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Computational Approaches for Aerospace Design

Andy Keane,Prasanth Nair
Computational Approaches for Aerospace Design Book PDF

Author : Andy Keane,Prasanth Nair
Publisher : John Wiley & Sons
Page : 602 pages
File Size : 42,8 Mb
Release : 2005-08-05
Category : Technology & Engineering
ISBN : 9780470855478

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Computational Approaches for Aerospace Design by Andy Keane,Prasanth Nair Pdf

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in engineering design has increased dramatically. In particular, the advent of modern computing systems and the development of advanced numerical methods have made computational modelling a vital tool for producing optimized designs. This text explores how computer-aided analysis has revolutionized aerospace engineering, providing a comprehensive coverage of the latest technologies underpinning advanced computational design. Worked case studies and over 500 references to the primary research literature allow the reader to gain a full understanding of the technology, giving a valuable insight into the world’s most complex engineering systems. Key Features: Includes background information on the history of aerospace design and established optimization, geometrical and mathematical modelling techniques, setting recent engineering developments in a relevant context. Examines the latest methods such as evolutionary and response surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty analysis, and concurrent systems integration schemes using grid-based computing. Methods are illustrated with real-world applications of structural statics, dynamics and fluid mechanics to satellite, aircraft and aero-engine design problems. Senior undergraduate and postgraduate engineering students taking courses in aerospace, vehicle and engine design will find this a valuable resource. It will also be useful for practising engineers and researchers working on computational approaches to design.

Automated Machine Learning

Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Automated Machine Learning Book PDF

Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Publisher : Springer
Page : 223 pages
File Size : 41,8 Mb
Release : 2019-05-17
Category : Computers
ISBN : 9783030053185

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Automated Machine Learning by Frank Hutter,Lars Kotthoff,Joaquin Vanschoren Pdf

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Engineering Design

Madara Ogot,Gul Kremer
Engineering Design Book PDF

Author : Madara Ogot,Gul Kremer
Publisher : Trafford Publishing
Page : 474 pages
File Size : 44,8 Mb
Release : 2004
Category : Science
ISBN : 9781412038508

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Engineering Design by Madara Ogot,Gul Kremer Pdf

This text provides an introduction to the design tools used in engineering design. It focuses on the first two steps of the design process: determination of need/problem clarification and conceptualization.

The Engineering Design of Systems

Dennis M. Buede,William D. Miller
The Engineering Design of Systems Book PDF

Author : Dennis M. Buede,William D. Miller
Publisher : John Wiley & Sons
Page : 584 pages
File Size : 40,9 Mb
Release : 2016-02-04
Category : Technology & Engineering
ISBN : 9781119028062

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The Engineering Design of Systems by Dennis M. Buede,William D. Miller Pdf

New for the third edition, chapters on: Complete Exercise of the SE Process, System Science and Analytics and The Value of Systems Engineering The book takes a model-based approach to key systems engineering design activities and introduces methods and models used in the real world. This book is divided into three major parts: (1) Introduction, Overview and Basic Knowledge, (2) Design and Integration Topics, (3) Supplemental Topics. The first part provides an introduction to the issues associated with the engineering of a system. The second part covers the critical material required to understand the major elements needed in the engineering design of any system: requirements, architectures (functional, physical, and allocated), interfaces, and qualification. The final part reviews methods for data, process, and behavior modeling, decision analysis, system science and analytics, and the value of systems engineering. Chapter 1 has been rewritten to integrate the new chapters and updates were made throughout the original chapters. Provides an overview of modeling, modeling methods associated with SysML, and IDEF0 Includes a new Chapter 12 that provides a comprehensive review of the topics discussed in Chapters 6 through 11 via a simple system – an automated soda machine Features a new Chapter 15 that reviews General System Theory, systems science, natural systems, cybernetics, systems thinking, quantitative characterization of systems, system dynamics, constraint theory, and Fermi problems and guesstimation Includes a new Chapter 16 on the value of systems engineering with five primary value propositions: systems as a goal-seeking system, systems engineering as a communications interface, systems engineering to avert showstoppers, systems engineering to find and fix errors, and systems engineering as risk mitigation The Engineering Design of Systems: Models and Methods, Third Edition is designed to be an introductory reference for professionals as well as a textbook for senior undergraduate and graduate students in systems engineering.

Computational Intelligence in Optimization

Yoel Tenne,Chi-Keong Goh
Computational Intelligence in Optimization Book PDF

Author : Yoel Tenne,Chi-Keong Goh
Publisher : Springer Science & Business Media
Page : 424 pages
File Size : 45,7 Mb
Release : 2010-06-30
Category : Technology & Engineering
ISBN : 9783642127755

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Computational Intelligence in Optimization by Yoel Tenne,Chi-Keong Goh Pdf

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.