Computational Optimization And Applications In Engineering And Industry

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Computational Optimization and Applications in Engineering and Industry

Author : Xin-She Yang
Publisher : Springer Science & Business Media
ISBN 13 : 3642209858
Total Pages : 282 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Optimization and Applications in Engineering and Industry by : Xin-She Yang

Download or read book Computational Optimization and Applications in Engineering and Industry written by Xin-She Yang and published by Springer Science & Business Media. This book was released on 2011-06-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas. Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.

Intelligent Computational Optimization in Engineering

Author : Mario Köppen
Publisher : Springer
ISBN 13 : 3642217052
Total Pages : 400 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intelligent Computational Optimization in Engineering by : Mario Köppen

Download or read book Intelligent Computational Optimization in Engineering written by Mario Köppen and published by Springer. This book was released on 2011-07-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches. This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Computational Optimization Techniques and Applications

Author : Muhammad Sarfraz
Publisher : BoD – Books on Demand
ISBN 13 : 1839687657
Total Pages : 245 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Computational Optimization Techniques and Applications by : Muhammad Sarfraz

Download or read book Computational Optimization Techniques and Applications written by Muhammad Sarfraz and published by BoD – Books on Demand. This book was released on 2021-08-25 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.

Computational Optimization, Methods and Algorithms

Author : Slawomir Koziel
Publisher : Springer
ISBN 13 : 3642208592
Total Pages : 292 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Optimization, Methods and Algorithms by : Slawomir Koziel

Download or read book Computational Optimization, Methods and Algorithms written by Slawomir Koziel and published by Springer. This book was released on 2011-06-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Computational Optimization in Engineering

Author : Mario K Ppen
Publisher : Springer
ISBN 13 : 9783642217067
Total Pages : 412 pages
Book Rating : 4.2/5 (17 download)

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Book Synopsis Intelligent Computational Optimization in Engineering by : Mario K Ppen

Download or read book Intelligent Computational Optimization in Engineering written by Mario K Ppen and published by Springer. This book was released on 2011-08-03 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Optimization in Engineering

Author : Hossein Peyvandi
Publisher :
ISBN 13 : 9789535148623
Total Pages : 0 pages
Book Rating : 4.1/5 (486 download)

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Book Synopsis Computational Optimization in Engineering by : Hossein Peyvandi

Download or read book Computational Optimization in Engineering written by Hossein Peyvandi and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Machine Learning for Computational Optimization

Author : Vishal Jain
Publisher : CRC Press
ISBN 13 : 100045567X
Total Pages : 295 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Machine Learning for Computational Optimization by : Vishal Jain

Download or read book Handbook of Machine Learning for Computational Optimization written by Vishal Jain and published by CRC Press. This book was released on 2021-11-02 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

Computational Optimization in Engineering

Author : Hossein Peyvandi
Publisher : BoD – Books on Demand
ISBN 13 : 9535130811
Total Pages : 164 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Computational Optimization in Engineering by : Hossein Peyvandi

Download or read book Computational Optimization in Engineering written by Hossein Peyvandi and published by BoD – Books on Demand. This book was released on 2017-04-26 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of optimization is to maximize the quality of lives, productivity in time, as well as interests. Therefore, optimization is an ongoing challenge for selecting the best possible among many other inferior designs. For a hundred years in the past, as optimization has been essential to human life, several techniques have been developed and utilized. Such a development has been one of the long-lasting challenges in engineering and science, and it is now clear that the optimization goals in many of real-life problems are unlikely to be achieved without resource for computational techniques. The history of such a development in the optimization techniques starts from the early 1950s and is still in progress. Since then, the efforts behind this development dedicated by many distinguished scientists, mathematicians, and engineers have brought us today a level of quality of lives. This book concerns with the computational optimization in engineering and techniques to resolve the underlying problems in real life. The current book contains studies from scientists and researchers around the world from North America to Europe and from Asia to Australia.

Advances and Trends in Optimization with Engineering Applications

Author : Tamas Terlaky
Publisher : SIAM
ISBN 13 : 1611974674
Total Pages : 730 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Advances and Trends in Optimization with Engineering Applications by : Tamas Terlaky

Download or read book Advances and Trends in Optimization with Engineering Applications written by Tamas Terlaky and published by SIAM. This book was released on 2017-04-26 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.

Computational Optimization of Internal Combustion Engines

Author : Yu Shi
Publisher : Springer Science & Business Media
ISBN 13 : 0857296191
Total Pages : 309 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Computational Optimization of Internal Combustion Engines by : Yu Shi

Download or read book Computational Optimization of Internal Combustion Engines written by Yu Shi and published by Springer Science & Business Media. This book was released on 2011-06-22 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of: spark-ignition engines, dual-fuel engines, heavy duty and light duty diesel engines. Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape. Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry.

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques

Author : Davim, J. Paulo
Publisher : IGI Global
ISBN 13 : 1466601299
Total Pages : 464 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Computational Methods for Optimizing Manufacturing Technology: Models and Techniques by : Davim, J. Paulo

Download or read book Computational Methods for Optimizing Manufacturing Technology: Models and Techniques written by Davim, J. Paulo and published by IGI Global. This book was released on 2012-02-29 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.

Real-time PDE-constrained Optimization

Author : Lorenz T. Biegler
Publisher : SIAM
ISBN 13 : 9780898718935
Total Pages : 335 pages
Book Rating : 4.7/5 (189 download)

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Book Synopsis Real-time PDE-constrained Optimization by : Lorenz T. Biegler

Download or read book Real-time PDE-constrained Optimization written by Lorenz T. Biegler and published by SIAM. This book was released on 2007-01-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are governed by partial differential equations (PDEs). The complexities of the PDEs--and the requirement for rapid solution--pose significant difficulties. A particularly challenging class of PDE-constrained optimization problems is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulation-based decision making. Real-Time PDE-Constrained Optimization, the first book devoted to real-time optimization for systems governed by PDEs, focuses on new formulations, methods, and algorithms needed to facilitate real-time, PDE-constrained optimization. In addition to presenting state-of-the-art algorithms and formulations, the text illustrates these algorithms with a diverse set of applications that includes problems in the areas of aerodynamics, biology, fluid dynamics, medicine, chemical processes, homeland security, and structural dynamics. Audience: readers who have expertise in simulation and are interested in incorporating optimization into their simulations, who have expertise in numerical optimization and are interested in adapting optimization methods to the class of infinite-dimensional simulation problems, or who have worked in "offline" optimization contexts and are interested in moving to "online" optimization.

Engineering Optimization

Author : R. Russell Rhinehart
Publisher : John Wiley & Sons
ISBN 13 : 1118936337
Total Pages : 769 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Engineering Optimization by : R. Russell Rhinehart

Download or read book Engineering Optimization written by R. Russell Rhinehart and published by John Wiley & Sons. This book was released on 2018-05-29 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process. Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project. Examples, exercises, and homework throughout reinforce the author’s “do, not study” approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field. Providing excellent reference for students or professionals, Engineering Optimization: Describes and develops a variety of algorithms, including gradient based (such as Newton’s, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for “making the best choices” will find value in this introductory resource.

Recent Advances in Computational Optimization

Author : Stefka Fidanova
Publisher : Springer
ISBN 13 : 3319598619
Total Pages : 235 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Recent Advances in Computational Optimization by : Stefka Fidanova

Download or read book Recent Advances in Computational Optimization written by Stefka Fidanova and published by Springer. This book was released on 2017-06-25 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Gdansk, Poland, September 11–14, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike.

Computational Neuroscience

Author : Wanpracha Chaovalitwongse
Publisher : Springer Science & Business Media
ISBN 13 : 0387886303
Total Pages : 330 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Computational Neuroscience by : Wanpracha Chaovalitwongse

Download or read book Computational Neuroscience written by Wanpracha Chaovalitwongse and published by Springer Science & Business Media. This book was released on 2010-07-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.

Software Engineering Research, Management and Applications 2011

Author : Roger Lee
Publisher : Springer
ISBN 13 : 3642232027
Total Pages : 200 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Software Engineering Research, Management and Applications 2011 by : Roger Lee

Download or read book Software Engineering Research, Management and Applications 2011 written by Roger Lee and published by Springer. This book was released on 2011-11-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the 9th International Conference on Software Engineering Research, Management and Applications(SERA 2011) held on August 10-12, 2011 in Baltimore, Maryland was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 12 outstanding papers from SERA 2011, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.

Computational Intelligence Systems in Industrial Engineering

Author : Cengiz Kahraman
Publisher : Springer Science & Business Media
ISBN 13 : 9491216775
Total Pages : 683 pages
Book Rating : 4.4/5 (912 download)

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Book Synopsis Computational Intelligence Systems in Industrial Engineering by : Cengiz Kahraman

Download or read book Computational Intelligence Systems in Industrial Engineering written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2012-11-05 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.