Optimization In Computer Engineering Theory And Applications

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Optimization in computer engineering – Theory and applications

Author : Zoltán Ádám Mann
Publisher : Scientific Research Publishing, Inc. USA
ISBN 13 : 1618960571
Total Pages : 182 pages
Book Rating : 4.6/5 (189 download)

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Book Synopsis Optimization in computer engineering – Theory and applications by : Zoltán Ádám Mann

Download or read book Optimization in computer engineering – Theory and applications written by Zoltán Ádám Mann and published by Scientific Research Publishing, Inc. USA. This book was released on 2011-11-15 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an overview of classic as well as new research results on optimization problems and algorithms. Beside the theoretical basis, the book contains a number of chapters describing the application of the theory in practice, that is, reports on successfully solving real-world engineering challenges by means of optimization algorithms. These case studies are collected from a wide range of application domains within computer engineering. The diversity of the presented approaches offers a number of practical tips and insights into the practical application of optimization algorithms, highlighting real-world challenges and solutions. Researchers, practitioners and graduate students will find the book equally useful.

Practical Optimization

Author : Andreas Antoniou
Publisher : Springer Science & Business Media
ISBN 13 : 0387711066
Total Pages : 675 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Practical Optimization by : Andreas Antoniou

Download or read book Practical Optimization written by Andreas Antoniou and published by Springer Science & Business Media. This book was released on 2007-03-12 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Optimization Concepts and Applications in Engineering

Author : Ashok D. Belegundu
Publisher : Cambridge University Press
ISBN 13 : 0521878462
Total Pages : 481 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Optimization Concepts and Applications in Engineering by : Ashok D. Belegundu

Download or read book Optimization Concepts and Applications in Engineering written by Ashok D. Belegundu and published by Cambridge University Press. This book was released on 2011-03-28 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this revised and enhanced second edition of Optimization Concepts and Applications in Engineering, the already robust pedagogy has been enhanced with more detailed explanations, an increased number of solved examples and end-of-chapter problems. The source codes are now available free on multiple platforms. It is vitally important to meet or exceed previous quality and reliability standards while at the same time reducing resource consumption. This textbook addresses this critical imperative integrating theory, modeling, the development of numerical methods, and problem solving, thus preparing the student to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multiobjective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses and for practising engineers in all engineering disciplines, as well as in applied mathematics.

Optimization in Engineering

Author : Ramteen Sioshansi
Publisher : Springer
ISBN 13 : 3319567691
Total Pages : 422 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Optimization in Engineering by : Ramteen Sioshansi

Download or read book Optimization in Engineering written by Ramteen Sioshansi and published by Springer. This book was released on 2017-06-24 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Engineering Optimization

Author : Xin-She Yang
Publisher : John Wiley & Sons
ISBN 13 : 0470640413
Total Pages : 377 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Engineering Optimization by : Xin-She Yang

Download or read book Engineering Optimization written by Xin-She Yang and published by John Wiley & Sons. This book was released on 2010-07-20 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Engineering Optimization

Author : S. S. Rao
Publisher : New Age International
ISBN 13 : 9788122411492
Total Pages : 936 pages
Book Rating : 4.4/5 (114 download)

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Book Synopsis Engineering Optimization by : S. S. Rao

Download or read book Engineering Optimization written by S. S. Rao and published by New Age International. This book was released on 2000 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Rigorous Mathematical Approach To Identifying A Set Of Design Alternatives And Selecting The Best Candidate From Within That Set, Engineering Optimization Was Developed As A Means Of Helping Engineers To Design Systems That Are Both More Efficient And Less Expensive And To Develop New Ways Of Improving The Performance Of Existing Systems.Thanks To The Breathtaking Growth In Computer Technology That Has Occurred Over The Past Decade, Optimization Techniques Can Now Be Used To Find Creative Solutions To Larger, More Complex Problems Than Ever Before. As A Consequence, Optimization Is Now Viewed As An Indispensable Tool Of The Trade For Engineers Working In Many Different Industries, Especially The Aerospace, Automotive, Chemical, Electrical, And Manufacturing Industries.In Engineering Optimization, Professor Singiresu S. Rao Provides An Application-Oriented Presentation Of The Full Array Of Classical And Newly Developed Optimization Techniques Now Being Used By Engineers In A Wide Range Of Industries. Essential Proofs And Explanations Of The Various Techniques Are Given In A Straightforward, User-Friendly Manner, And Each Method Is Copiously Illustrated With Real-World Examples That Demonstrate How To Maximize Desired Benefits While Minimizing Negative Aspects Of Project Design.Comprehensive, Authoritative, Up-To-Date, Engineering Optimization Provides In-Depth Coverage Of Linear And Nonlinear Programming, Dynamic Programming, Integer Programming, And Stochastic Programming Techniques As Well As Several Breakthrough Methods, Including Genetic Algorithms, Simulated Annealing, And Neural Network-Based And Fuzzy Optimization Techniques.Designed To Function Equally Well As Either A Professional Reference Or A Graduate-Level Text, Engineering Optimization Features Many Solved Problems Taken From Several Engineering Fields, As Well As Review Questions, Important Figures, And Helpful References.Engineering Optimization Is A Valuable Working Resource For Engineers Employed In Practically All Technological Industries. It Is Also A Superior Didactic Tool For Graduate Students Of Mechanical, Civil, Electrical, Chemical And Aerospace Engineering.

Optimization for Chemical and Biochemical Engineering

Author : Vassilios S. Vassiliadis
Publisher : Cambridge University Press
ISBN 13 : 1107106834
Total Pages : 353 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Optimization for Chemical and Biochemical Engineering by : Vassilios S. Vassiliadis

Download or read book Optimization for Chemical and Biochemical Engineering written by Vassilios S. Vassiliadis and published by Cambridge University Press. This book was released on 2021-01-14 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Optimization for Chemical and Biochemical Engineering - Theory, Algorithms, Modeling and Applications"--

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

Author : Chis, Monica
Publisher : IGI Global
ISBN 13 : 1615208100
Total Pages : 282 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by : Chis, Monica

Download or read book Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques written by Chis, Monica and published by IGI Global. This book was released on 2010-06-30 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Optimization for Engineering Systems

Author : Ralph W. Pike
Publisher : Van Nostrand Reinhold Company
ISBN 13 :
Total Pages : 442 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Optimization for Engineering Systems by : Ralph W. Pike

Download or read book Optimization for Engineering Systems written by Ralph W. Pike and published by Van Nostrand Reinhold Company. This book was released on 1986 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization Techniques and Applications with Examples

Author : Xin-She Yang
Publisher : John Wiley & Sons
ISBN 13 : 1119490545
Total Pages : 384 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Optimization Techniques and Applications with Examples by : Xin-She Yang

Download or read book Optimization Techniques and Applications with Examples written by Xin-She Yang and published by John Wiley & Sons. This book was released on 2018-09-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.

Engineering Design Optimization

Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
ISBN 13 : 110898861X
Total Pages : 653 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Engineering Design Optimization by : Joaquim R. R. A. Martins

Download or read book Engineering Design Optimization written by Joaquim R. R. A. Martins and published by Cambridge University Press. This book was released on 2021-11-18 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.

Optimization Based Data Mining: Theory and Applications

Author : Yong Shi
Publisher : Springer Science & Business Media
ISBN 13 : 0857295047
Total Pages : 314 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Optimization Based Data Mining: Theory and Applications by : Yong Shi

Download or read book Optimization Based Data Mining: Theory and Applications written by Yong Shi and published by Springer Science & Business Media. This book was released on 2011-05-16 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery. Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

Introduction to Nonlinear Optimization

Author : Amir Beck
Publisher : SIAM
ISBN 13 : 1611973651
Total Pages : 286 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Introduction to Nonlinear Optimization by : Amir Beck

Download or read book Introduction to Nonlinear Optimization written by Amir Beck and published by SIAM. This book was released on 2014-10-27 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization?theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems?and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 theoretical, algorithmic, and numerical exercises that deepen and enhance the reader's understanding of the topics. The author includes offers several subjects not typically found in optimization books?for example, optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. The book also offers a large number of applications discussed theoretically and algorithmically, such as circle fitting, Chebyshev center, the Fermat?Weber problem, denoising, clustering, total least squares, and orthogonal regression and theoretical and algorithmic topics demonstrated by the MATLAB? toolbox CVX and a package of m-files that is posted on the book?s web site.

Applications of Advanced Optimization Techniques in Industrial Engineering

Author : Abhinav Goel
Publisher : CRC Press
ISBN 13 : 1000544869
Total Pages : 243 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Applications of Advanced Optimization Techniques in Industrial Engineering by : Abhinav Goel

Download or read book Applications of Advanced Optimization Techniques in Industrial Engineering written by Abhinav Goel and published by CRC Press. This book was released on 2022-03-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world. The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

Bayesian Optimization with Application to Computer Experiments

Author : Tony Pourmohamad
Publisher : Springer Nature
ISBN 13 : 3030824586
Total Pages : 113 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Bayesian Optimization with Application to Computer Experiments by : Tony Pourmohamad

Download or read book Bayesian Optimization with Application to Computer Experiments written by Tony Pourmohamad and published by Springer Nature. This book was released on 2021-10-04 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field. This will be a useful companion to researchers and practitioners working with computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.

Engineering Optimization

Author : G. V. Reklaitis
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 714 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Engineering Optimization by : G. V. Reklaitis

Download or read book Engineering Optimization written by G. V. Reklaitis and published by Wiley-Interscience. This book was released on 1983 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: A basic text for engineering students and practicing engineers dealing with design problems in all engineering disciplines. Optimization algorithms are developed through illustrative examples. Includes numerical results on the efficiencies of various algorithms, comparison of constrained-optimization methods, and strategies for optimization studies. Also includes several actual case studies.

Optimization Theory and Methods

Author : Wenyu Sun
Publisher : Springer Science & Business Media
ISBN 13 : 0387249761
Total Pages : 689 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Optimization Theory and Methods by : Wenyu Sun

Download or read book Optimization Theory and Methods written by Wenyu Sun and published by Springer Science & Business Media. This book was released on 2006-08-06 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Theory and Methods can be used as a textbook for an optimization course for graduates and senior undergraduates. It is the result of the author's teaching and research over the past decade. It describes optimization theory and several powerful methods. For most methods, the book discusses an idea’s motivation, studies the derivation, establishes the global and local convergence, describes algorithmic steps, and discusses the numerical performance.