Applied Optimization

Author: Ross Baldick
Publisher: Cambridge University Press
ISBN: 1107394082
Format: PDF, Docs
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The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them. A number of engineering case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form. Five general problem classes are considered: linear systems of equations, non-linear systems of equations, unconstrained optimization, equality-constrained optimization and inequality-constrained optimization. The book contains many worked examples and homework exercises and is suitable for students of engineering or operations research taking courses in optimization. Supplementary material including solutions, lecture slides and appendices are available online at

Applied Optimization with MATLAB Programming

Author: P. Venkataraman
Publisher: John Wiley & Sons
ISBN: 047008488X
Format: PDF
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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.

Electric Power System Applications of Optimization

Author: James A. Momoh
Publisher: CRC Press
ISBN: 9780824791056
Format: PDF, ePub
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A study of electric power system applications of optimization. It highlights essential trends in optimizational and genetic algorithms; linear programming; interior point methods of linear, quadratic, and non-linear systems; decomposition and Lagrange relaxation methods; unit commitment; optimal power flow; Var planning; and hands-on applications.

Optimization Principles

Author: Narayan S. Rau
Publisher: John Wiley & Sons
ISBN: 9780471451303
Format: PDF
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Today's need-to-know optimization techniques, at your fingertips The use of optimization methods is familiar territory to academicians and researchers. Yet, in today's world of deregulated electricity markets, it's just as important for electric power professionals to have a solid grasp of these increasingly relied upon techniques. Making those techniques readily accessible is the hallmark of Optimization Principles: Practical Applications to the Operation and Markets of the Electric Power Industry. With deregulation, market rules and economic principles dictate that commodities be priced at the marginal value of their production. As a result, it's necessary to work with ever-more-sophisticated algorithms using optimization techniques-either for the optimal dispatch of the system itself, or for pricing commodities and the settlement of markets. Succeeding in this new environment takes a good understanding of methods that involve linear and nonlinear optimization, including optimal power flow, locational marginal prices for energy, and the auction of hedging instruments. In its comprehensive, skill-building overview of optimization techniques, Optimization Principles puts you on the same footing with algorithm-savvy software developers. Starting with a helpful look at matrix algebra fundamentals, this just-in-time reference covers: * Deregulated electricity markets: terminology and acronyms * Solution of equations, inequalities, and linear programs * Unconstrained and constrained nonlinear optimization * Applications to practical problems addressing system dispatch, market design, and material procurement * And related topics As an aid to the uninitiated, appendices provide a brief description of basic principles of electricity, and the development of network equations. Optimization Principles allows you to learn optimization methods at your own pace using Microsoft Excel or MATLAB software, and it includes an FTP web site with downloadable Excel spreadsheets and problems. After mastering these practical applications, you can then refer to chapters that highlight the theoretical background of the algorithms and resulting solutions. The book also includes a Web site with downloadable files of all example problems and solved problems. Ideal for engineers, other electric power professionals, and advanced engineering students, Optimization Principles demystifies the electric power industry under deregulation-and delivers a complete, learn-as-you-go tutorial of optimization techniques that no other resource can match.

High Performance Programming for Soft Computing

Author: Oscar Humberto Montiel Ross
Publisher: CRC Press
ISBN: 1466586028
Format: PDF, Mobi
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This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.

Genetic Algorithms in Engineering Systems

Author: Ali M. S. Zalzala
Publisher: IET
ISBN: 9780852969021
Format: PDF, Mobi
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Arising out of the highly successful 1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA '95), held at the University of Sheffield UK, this book comprises commissioned papers from some of the highest quality contributions to the conference. Chosen for their experience in the field, the authorship is international and drawn from academia and industry. The chapters cover the main fields of work as well as presenting tutorial material in this important subject, which is currently receiving considerable attention from engineers.

Introduction to Applied Optimization

Author: Urmila Diwekar
Publisher: Springer Science & Business Media
ISBN: 9781402074561
Format: PDF, ePub, Mobi
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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Optimization in Civil Environmental Engineering

Author: Zong Woo Geem
Publisher: Archives contemporaines
ISBN: 2813000302
Format: PDF, ePub, Docs
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Today's highly capitalized societies require maximum benefit with minimum cost. In order to find a low cost design in practice, experienced engineers have traditionally used trial-and-error methods based on their intuitive engineering sense. However, their approaches have not guaranteed optimal or near-optimal designs, which is why researchers have been interested in optimization methods. Mathematically speaking, optimization refers to finding the best vector from a set of feasible alternative vectors. Civil engineering, which includes structural engineering, geotechnical engineering, water resources engineering, environmental engineering, transportation engineering, and construction management, can be an industrial sector which derives great benefit from the optimization because these techniques can Save a lot of costs in public infrastructure construction and management that require enormous budget. Thus, this book intends to show a big picture how the optimization techniques can be applied to various civil engineering problems in 1) construction and project management, 2) structural engineering, 3) water and environmental engineering, and 4) transportation engineering.