Introduction To Design Optimization

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Author: Krishnan Suresh
Publisher: Createspace Independent Publishing Platform
ISBN: 9781976482991
Size: 46.72 MB
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Introduction To Design Optimization by Krishnan Suresh


Original Title: Introduction To Design Optimization

Optimization plays a critical in engineering today. To carry out an engineering optimization study, a thorough understanding of the underlying theory is essential. This must also be accompanied by a good grasp of the modeling process (i.e., translation of engineering problems into optimization problems), and interpretation of numerical results. With these objectives in mind, this text addresses optimization from three different perspectives: theoretical, physical and numerical, providing a unique blend. While the focus is on optimization of elastic components, the principles and concepts are applicable to other engineering domains as well. The primary audience include senior undergraduate students, first year graduate students and practicing engineers. No prior background in optimization theory, or computer programming is assumed. The text takes the reader from the fundamentals of 1D optimization, all the way to the fascinating world of 3D shape and topology optimization. Several MATLAB examples are provided throughout the text; these not only illustrate the underlying theory, but they encourage the reader to experiment.

Introduction To Engineering Design Optimization

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Author: Chinyere Okechi Onwubiko
Publisher: Prentice Hall
ISBN: 9780201476736
Size: 58.11 MB
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Introduction To Engineering Design Optimization by Chinyere Okechi Onwubiko


Original Title: Introduction To Engineering Design Optimization

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.

Introduction To Optimum Design

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Author: Jasbir Arora
Publisher: Academic Press
ISBN: 012381376X
Size: 21.70 MB
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Introduction To Optimum Design by Jasbir Arora


Original Title: Introduction To Optimum Design

Introduction to Optimum Design, Third Edition describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB® are featured as learning and teaching aids. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems Introduction to MATLAB Optimization Toolbox Practical design examples introduce students to the use of optimization methods early in the book New example problems throughout the text are enhanced with detailed illustrations Optimum design with Excel Solver has been expanded into a full chapter New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses

Multidisciplinary Design Optimization In Computational Mechanics

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Author: Piotr Breitkopf
Publisher: John Wiley & Sons
ISBN: 1118600002
Size: 66.13 MB
Format: PDF, Kindle
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Multidisciplinary Design Optimization In Computational Mechanics by Piotr Breitkopf


Original Title: Multidisciplinary Design Optimization In Computational Mechanics

This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.

Evolutionary Algorithms For Single And Multicriteria Design Optimization

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Author: Andrzej Osyczka
Publisher: Physica
ISBN:
Size: 24.65 MB
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Evolutionary Algorithms For Single And Multicriteria Design Optimization by Andrzej Osyczka


Original Title: Evolutionary Algorithms For Single And Multicriteria Design Optimization

Many design optimization problems are of a very complex nature and quite hard to solve by conventional optimization techniques. Genetic and evolutionary algorithms have recently received considerable attention because of their potential of being a very effective design optimization technique. The book starts with an introduction to design optimization which is followed by a description of genetic and evolutionary algorithms. Then the advanced evolutionary algorithm techniques are provided. These techniques are used in the single and multicriteria optimization methods described in this book. Finally three real-life design optimization problems are formulated and solved by means of these methods. The book is designed as a self-study guide for researchers and students in all engineering departments, especially in mechanical, civil and industrial engineering. The book may also be useful as a comprehensive text for operations researchers, artifical intelligence researchers.

Multidisciplinary Design Optimization Supported By Knowledge Based Engineering

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Author: Jaroslaw Sobieszczanski-Sobieski
Publisher: John Wiley & Sons
ISBN: 1118492129
Size: 35.68 MB
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Multidisciplinary Design Optimization Supported By Knowledge Based Engineering by Jaroslaw Sobieszczanski-Sobieski


Original Title: Multidisciplinary Design Optimization Supported By Knowledge Based Engineering

Multidisciplinary Design Optimization supported by Knowledge Based Engineering provides a comprehensive guide to the use of Multidisciplinary Design Optimization (MDO) in the modern design environment. The combination of MDO and Knowledge Based Engineering (KBE), two rapidly developing technologies, can help to improve the robustness of the conceptual design process and these technologies and some examples of their application are the subject of this book. Multidisciplinary Design Optimization supported by Knowledge Based Engineering is divided into 4 parts, covering fundamental concepts, system details, MDO/KBE in real-world environments, and examples of MDO/KBE real-world applications. The aim of the book is to support an engineer confronting a complex engineering design problem requiring the application of MDO methods and technology.

Introduction To Advanced System On Chip Test Design And Optimization

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Author: Erik Larsson
Publisher: Springer Science & Business Media
ISBN: 0387256245
Size: 66.40 MB
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Introduction To Advanced System On Chip Test Design And Optimization by Erik Larsson


Original Title: Introduction To Advanced System On Chip Test Design And Optimization

SOC test design and its optimization is the topic of Introduction to Advanced System-on-Chip Test Design and Optimization. It gives an introduction to testing, describes the problems related to SOC testing, discusses the modeling granularity and the implementation into EDA (electronic design automation) tools. The book is divided into three sections: i) test concepts, ii) SOC design for test, and iii) SOC test applications. The first part covers an introduction into test problems including faults, fault types, design-flow, design-for-test techniques such as scan-testing and Boundary Scan. The second part of the book discusses SOC related problems such as system modeling, test conflicts, power consumption, test access mechanism design, test scheduling and defect-oriented scheduling. Finally, the third part focuses on SOC applications, such as integrated test scheduling and TAM design, defect-oriented scheduling, and integrating test design with the core selection process.

An Introduction To Structural Optimization

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Author: Peter W. Christensen
Publisher: Springer Science & Business Media
ISBN: 1402086652
Size: 14.45 MB
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An Introduction To Structural Optimization by Peter W. Christensen


Original Title: An Introduction To Structural Optimization

This book has grown out of lectures and courses given at Linköping University, Sweden, over a period of 15 years. It gives an introductory treatment of problems and methods of structural optimization. The three basic classes of geometrical - timization problems of mechanical structures, i. e. , size, shape and topology op- mization, are treated. The focus is on concrete numerical solution methods for d- crete and (?nite element) discretized linear elastic structures. The style is explicit and practical: mathematical proofs are provided when arguments can be kept e- mentary but are otherwise only cited, while implementation details are frequently provided. Moreover, since the text has an emphasis on geometrical design problems, where the design is represented by continuously varying—frequently very many— variables, so-called ?rst order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing ?rst order derivatives for - jectives and constraints. The classical ?rst order methods that we emphasize are CONLIN and MMA, which are based on explicit, convex and separable appro- mations. It should be remarked that the classical and frequently used so-called op- mality criteria method is also of this kind. It may also be noted in this context that zero order methods such as response surface methods, surrogate models, neural n- works, genetic algorithms, etc. , essentially apply to different types of problems than the ones treated here and should be presented elsewhere.

Applied Optimization With Matlab Programming

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Author: P. Venkataraman
Publisher: John Wiley & Sons
ISBN: 047008488X
Size: 18.73 MB
Format: PDF, ePub, Docs
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Applied Optimization With Matlab Programming by P. Venkataraman


Original Title: Applied Optimization With Matlab Programming

Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.

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