Fundamentals of Optimization Techniques with Algorithms

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Release : 2020-08-25
Genre : Technology & Engineering
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Book Rating : 924/5 ( reviews)

Fundamentals of Optimization Techniques with Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fundamentals of Optimization Techniques with Algorithms write by Sukanta Nayak. This book was released on 2020-08-25. Fundamentals of Optimization Techniques with Algorithms available in PDF, EPUB and Kindle. Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice. Presents optimization techniques clearly, including worked-out examples, from traditional to advanced Maps out the relations between optimization and other mathematical topics and disciplines Provides systematic coverage of algorithms to facilitate computer coding Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks

Optimization Techniques and Applications with Examples

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Release : 2018-09-19
Genre : Mathematics
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Book Rating : 545/5 ( reviews)

Optimization Techniques and Applications with Examples - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Techniques and Applications with Examples write by Xin-She Yang. This book was released on 2018-09-19. Optimization Techniques and Applications with Examples available in PDF, EPUB and Kindle. 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.

Optimization Techniques

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Release : 2009
Genre : Mathematical optimization
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Book Rating : 215/5 ( reviews)

Optimization Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Techniques write by Chander Mohan. This book was released on 2009. Optimization Techniques available in PDF, EPUB and Kindle. Suitable for various disciplines where a systematic course on optimization techniques is considered necessary, and also for research scholars as well as for specialists working in optimization related problems.

Modern Optimization Techniques with Applications in Electric Power Systems

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Release : 2011-12-15
Genre : Mathematics
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Book Rating : 52X/5 ( reviews)

Modern Optimization Techniques with Applications in Electric Power Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Optimization Techniques with Applications in Electric Power Systems write by Soliman Abdel-Hady Soliman. This book was released on 2011-12-15. Modern Optimization Techniques with Applications in Electric Power Systems available in PDF, EPUB and Kindle. This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material. Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful. ​

Optimization Techniques

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Release : 2012-12-06
Genre : Science
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Book Rating : 589/5 ( reviews)

Optimization Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Techniques write by L. R. Foulds. This book was released on 2012-12-06. Optimization Techniques available in PDF, EPUB and Kindle. Optimization is the process by which the optimal solution to a problem, or optimum, is produced. The word optimum has come from the Latin word optimus, meaning best. And since the beginning of his existence Man has strived for that which is best. There has been a host of contributions, from Archimedes to the present day, scattered across many disciplines. Many of the earlier ideas, although interesting from a theoretical point of view, were originally of little practical use, as they involved a daunting amount of com putational effort. Now modern computers perform calculations, whose time was once estimated in man-years, in the figurative blink of an eye. Thus it has been worthwhile to resurrect many of these earlier methods. The advent of the computer has helped bring about the unification of optimization theory into a rapidly growing branch of applied mathematics. The major objective of this book is to provide an introduction to the main optimization tech niques which are at present in use. It has been written for final year undergrad uates or first year graduates studying mathematics, engineering, business, or the physical or social sciences. The book does not assume much mathemati cal knowledge. It has an appendix containing the necessary linear algebra and basic calculus, making it virtually self-contained. This text evolved out of the experience of teaching the material to finishing undergraduates and beginning graduates.