Computational Optimization Methods and Algorithms

Computational Optimization  Methods and Algorithms
Author: Slawomir Koziel,Xin-She Yang
Publsiher: Springer
Total Pages: 283
Release: 2011-06-17
ISBN 10: 3642208592
ISBN 13: 9783642208591
Language: EN, FR, DE, ES & NL

Computational Optimization Methods and Algorithms Book Review:

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.

Computational Optimization

Computational Optimization
Author: Jong-Shi Pang
Publsiher: Springer Science & Business Media
Total Pages: 273
Release: 2012-12-06
ISBN 10: 1461551978
ISBN 13: 9781461551973
Language: EN, FR, DE, ES & NL

Computational Optimization Book Review:

Computational Optimization: A Tribute to Olvi Mangasarian serves as an excellent reference, providing insight into some of the most challenging research issues in the field. This collection of papers covers a wide spectrum of computational optimization topics, representing a blend of familiar nonlinear programming topics and such novel paradigms as semidefinite programming and complementarity-constrained nonlinear programs. Many new results are presented in these papers which are bound to inspire further research and generate new avenues for applications. An informal categorization of the papers includes: Algorithmic advances for special classes of constrained optimization problems Analysis of linear and nonlinear programs Algorithmic advances B- stationary points of mathematical programs with equilibrium constraints Applications of optimization Some mathematical topics Systems of nonlinear equations.

Recent Advances in Computational Optimization

Recent Advances in Computational Optimization
Author: Stefka Fidanova
Publsiher: Springer
Total Pages: 244
Release: 2015-07-14
ISBN 10: 3319211331
ISBN 13: 9783319211336
Language: EN, FR, DE, ES & NL

Recent Advances in Computational Optimization Book Review:

This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014. The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.

Computational Optimization in Engineering

Computational Optimization in Engineering
Author: Hossein Peyvandi
Publsiher: BoD – Books on Demand
Total Pages: 162
Release: 2017-04-26
ISBN 10: 9535130811
ISBN 13: 9789535130819
Language: EN, FR, DE, ES & NL

Computational Optimization in Engineering Book Review:

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.

Intelligent Computational Optimization in Engineering

Intelligent Computational Optimization in Engineering
Author: Mario Koeppen,Gerald Schaefer,Ajith Abraham
Publsiher: Springer Science & Business Media
Total Pages: 400
Release: 2011-07-15
ISBN 10: 3642217044
ISBN 13: 9783642217043
Language: EN, FR, DE, ES & NL

Intelligent Computational Optimization in Engineering Book Review:

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 and Applications in Engineering and Industry

Computational Optimization and Applications in Engineering and Industry
Author: Xin-She Yang,Slawomir Koziel
Publsiher: Springer
Total Pages: 271
Release: 2011-06-19
ISBN 10: 3642209866
ISBN 13: 9783642209864
Language: EN, FR, DE, ES & NL

Computational Optimization and Applications in Engineering and Industry Book Review:

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.

Computational Optimization of Internal Combustion Engines

Computational Optimization of Internal Combustion Engines
Author: Yu Shi,Hai-Wen Ge,Rolf D. Reitz
Publsiher: Springer Science & Business Media
Total Pages: 309
Release: 2011-06-22
ISBN 10: 0857296191
ISBN 13: 9780857296191
Language: EN, FR, DE, ES & NL

Computational Optimization of Internal Combustion Engines Book Review:

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 Optimization of Systems Governed by Partial Differential Equations

Computational Optimization of Systems Governed by Partial Differential Equations
Author: Alfio Borzi,Volker Schulz
Publsiher: SIAM
Total Pages: 282
Release: 2012-01-26
ISBN 10: 1611972043
ISBN 13: 9781611972047
Language: EN, FR, DE, ES & NL

Computational Optimization of Systems Governed by Partial Differential Equations Book Review:

This book provides a bridge between continuous optimization and PDE modelling and focuses on the numerical solution of the corresponding problems. Intended for graduate students in PDE-constrained optimization, it is also suitable as an introduction for researchers in scientific computing or optimization.

Computational Optimization Techniques and Applications

Computational Optimization Techniques and Applications
Author: Muhammad Sarfraz,Samsul Ariffin Abdul Karim
Publsiher: BoD – Books on Demand
Total Pages: 244
Release: 2021-08-25
ISBN 10: 1839687657
ISBN 13: 9781839687655
Language: EN, FR, DE, ES & NL

Computational Optimization Techniques and Applications Book Review:

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.

Handbook of Machine Learning for Computational Optimization

Handbook of Machine Learning for Computational Optimization
Author: Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
Publsiher: CRC Press
Total Pages: 294
Release: 2021-11-02
ISBN 10: 100045567X
ISBN 13: 9781000455670
Language: EN, FR, DE, ES & NL

Handbook of Machine Learning for Computational Optimization Book Review:

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.

Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Author: Stefan Voß,David L. Woodruff
Publsiher: Springer Science & Business Media
Total Pages: 233
Release: 2013-06-05
ISBN 10: 3540247645
ISBN 13: 9783540247647
Language: EN, FR, DE, ES & NL

Introduction to Computational Optimization Models for Production Planning in a Supply Chain Book Review:

An easy-to-read introduction to the concepts associated with the creation of optimization models for production planning starts off this book. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation, fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.

Computational Optimization and Applications in Engineering and Industry

Computational Optimization and Applications in Engineering and Industry
Author: Xin-She Yang,Slawomir Koziel
Publsiher: Springer Science & Business Media
Total Pages: 271
Release: 2011-06-19
ISBN 10: 3642209858
ISBN 13: 9783642209857
Language: EN, FR, DE, ES & NL

Computational Optimization and Applications in Engineering and Industry Book Review:

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.

Handbook of Machine Learning for Computational Optimization

Handbook of Machine Learning for Computational Optimization
Author: Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
Publsiher: CRC Press
Total Pages: 294
Release: 2021-11-02
ISBN 10: 1000455688
ISBN 13: 9781000455687
Language: EN, FR, DE, ES & NL

Handbook of Machine Learning for Computational Optimization Book Review:

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.

Computational Optimal Control

Computational Optimal Control
Author: Dr Subchan Subchan,Dr Rafal Zbikowski
Publsiher: John Wiley & Sons
Total Pages: 202
Release: 2009-08-19
ISBN 10: 0470747684
ISBN 13: 9780470747681
Language: EN, FR, DE, ES & NL

Computational Optimal Control Book Review:

Computational Optimal Control: Tools and Practice provides a detailed guide to informed use of computational optimal control in advanced engineering practice, addressing the need for a better understanding of the practical application of optimal control using computational techniques. Throughout the text the authors employ an advanced aeronautical case study to provide a practical, real-life setting for optimal control theory. This case study focuses on an advanced, real-world problem known as the “terminal bunt manoeuvre” or special trajectory shaping of a cruise missile. Representing the many problems involved in flight dynamics, practical control and flight path constraints, this case study offers an excellent illustration of advanced engineering practice using optimal solutions. The book describes in practical detail the real and tested optimal control software, examining the advantages and limitations of the technology. Featuring tutorial insights into computational optimal formulations and an advanced case-study approach to the topic, Computational Optimal Control: Tools and Practice provides an essential handbook for practising engineers and academics interested in practical optimal solutions in engineering. Focuses on an advanced, real-world aeronautical case study examining optimisation of the bunt manoeuvre Covers DIRCOL, NUDOCCCS, PROMIS and SOCS (under the GESOP environment), and BNDSCO Explains how to configure and optimize software to solve complex real-world computational optimal control problems Presents a tutorial three-stage hybrid approach to solving optimal control problem formulations

Computational Methods in Optimization

Computational Methods in Optimization
Author: E. Polak
Publsiher: Academic Press
Total Pages: 329
Release: 1971-05-31
ISBN 10: 9780080960913
ISBN 13: 008096091X
Language: EN, FR, DE, ES & NL

Computational Methods in Optimization Book Review:

Computational Methods in Optimization

Computational Combinatorial Optimization

Computational Combinatorial Optimization
Author: Michael Jünger,Denis Naddef
Publsiher: Springer
Total Pages: 310
Release: 2003-06-30
ISBN 10: 3540455868
ISBN 13: 9783540455868
Language: EN, FR, DE, ES & NL

Computational Combinatorial Optimization Book Review:

This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality.

Issues in Computation 2011 Edition

Issues in Computation  2011 Edition
Author: Anonim
Publsiher: ScholarlyEditions
Total Pages: 1316
Release: 2012-01-09
ISBN 10: 146496453X
ISBN 13: 9781464964534
Language: EN, FR, DE, ES & NL

Issues in Computation 2011 Edition Book Review:

Issues in Computation / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Computation. The editors have built Issues in Computation: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Computation in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Computation / 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Computing Methods in Optimization Problems

Computing Methods in Optimization Problems
Author: A. V. Balakrishnan,Lucien W. Neustadt
Publsiher: Academic Press
Total Pages: 338
Release: 2014-05-12
ISBN 10: 1483223159
ISBN 13: 9781483223155
Language: EN, FR, DE, ES & NL

Computing Methods in Optimization Problems Book Review:

Computing Methods in Optimization Problems deals with hybrid computing methods and optimization techniques using computers. One paper discusses different numerical approaches to optimizing trajectories, including the gradient method, the second variation method, and a generalized Newton-Raphson method. The paper cites the advantages and disadvantages of each method, and compares the second variation method (a direct method) with the generalized Newton-Raphson method (an indirect method). An example problem illustrates the application of the three methods in minimizing the transfer time of a low-thrust ion rocket between the orbits of Earth and Mars. Another paper discusses an iterative process for steepest-ascent optimization of orbit transfer trajectories to minimize storage requirements such as in reduced memory space utilized in guidance computers. By eliminating state variable storage and control schedule storage, the investigator can achieve reduced memory requirements. Other papers discuss dynamic programming, invariant imbedding, quasilinearization, Hilbert space, and the computational aspects of a time-optimal control problem. The collection is suitable for computer programmers, engineers, designers of industrial processes, and researchers involved in aviation or control systems technology.

Issues in Computation 2013 Edition

Issues in Computation  2013 Edition
Author: Anonim
Publsiher: ScholarlyEditions
Total Pages: 1200
Release: 2013-05-01
ISBN 10: 1490109021
ISBN 13: 9781490109022
Language: EN, FR, DE, ES & NL

Issues in Computation 2013 Edition Book Review:

Issues in Computation / 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Computing. The editors have built Issues in Computation: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Computing in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Computation / 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Optimization and Computational Fluid Dynamics

Optimization and Computational Fluid Dynamics
Author: Dominique Thévenin,Gábor Janiga
Publsiher: Springer Science & Business Media
Total Pages: 294
Release: 2008-01-08
ISBN 10: 3540721533
ISBN 13: 9783540721536
Language: EN, FR, DE, ES & NL

Optimization and Computational Fluid Dynamics Book Review:

The numerical optimization of practical applications has been an issue of major importance for the last 10 years. It allows us to explore reliable non-trivial configurations, differing widely from all known solutions. The purpose of this book is to introduce the state-of-the-art concerning this issue and many complementary applications are presented.