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Modern Optimization Methods for Science, Engineering and Technology

2019-11-20 Mathematics
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Release : 2019-11-20
Genre : Mathematics
Kind : eBook
Book Rating : 052/5 ( reviews)

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Book Synopsis Modern Optimization Methods for Science, Engineering and Technology by : G. R. Sinha

Download or read book Modern Optimization Methods for Science, Engineering and Technology written by G. R. Sinha. This book was released on 2019-11-20. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. The book will be useful for a wide spectrum of target readers such as research scholars, academics and industry professionals.

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics

2016-03-08 Mathematics
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Release : 2016-03-08
Genre : Mathematics
Kind : eBook
Book Rating : 451/5 ( reviews)

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Book Synopsis Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics by : Vasant, Pandian

Download or read book Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics written by Vasant, Pandian. This book was released on 2016-03-08. Available in PDF, EPUB and Kindle. Book excerpt: Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems. The Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain real-world problems. .

Modern Optimization Methods for Science, Engineering and Technology

2019 Electronic books
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Release : 2019
Genre : Electronic books
Kind : eBook
Book Rating : 045/5 ( reviews)

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Book Synopsis Modern Optimization Methods for Science, Engineering and Technology by : G. R. Sinha

Download or read book Modern Optimization Methods for Science, Engineering and Technology written by G. R. Sinha. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation of computers with their increased power and speed allows for the development and wider application of new types of solutions. This book defines the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. It encompasses linear programming, multivariable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations. The book will be very useful for wide spectrum of target readers including students and researchers in academia and industry.

Optimization in Engineering Sciences

2013-01-24 Technology & Engineering
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Release : 2013-01-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 841/5 ( reviews)

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Book Synopsis Optimization in Engineering Sciences by : Pierre Borne

Download or read book Optimization in Engineering Sciences written by Pierre Borne. This book was released on 2013-01-24. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the interested reader to explore various methods of implementation such as linear programming, nonlinear programming – particularly important given the wide variety of existing algorithms, dynamic programming with various application examples and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular application to process control; optimization of large scale and complex systems; optimization and information systems.

Optimization Techniques and Applications with Examples

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

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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. This book was released on 2018-09-19. 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.

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