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Handbook of Research on Emergent Applications of Optimization Algorithms, Pandian Vasant, Sirma Zeynep Alparslan-Gok, Gerhard-Wilhelm Weber


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Автор: Pandian Vasant, Sirma Zeynep Alparslan-Gok, Gerhard-Wilhelm Weber
Название:  Handbook of Research on Emergent Applications of Optimization Algorithms
ISBN: 9781522529903
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 152252990X
Обложка/Формат: Hardcover
Страницы: 830
Вес: 1.60 кг.
Дата издания: 30.10.2017
Серия: Advances in business information systems and analytics
Язык: English
Издание: 2 volume set
Размер: 229 x 152
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures
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Поставляется из: Англии
Описание: Presents the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is designed for students, researchers, and engineers.

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Автор: Oscar Castillo; Patricia Melin; Janusz Kacprzyk
Название: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
ISBN: 3319710079 ISBN-13(EAN): 9783319710075
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.

Handbook of Data Structures and Applications, Second Edition

Название: Handbook of Data Structures and Applications, Second Edition
ISBN: 149870185X ISBN-13(EAN): 9781498701853
Издательство: Taylor&Francis
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Цена: 209270.00 T
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Описание: This book provides a comprehensive survey of data structures of various types. The second edition has been revised and updated with new chapters on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores.

Continuous-time Stochastic Control and Optimization with Financial Applications

Автор: Huyen Pham
Название: Continuous-time Stochastic Control and Optimization with Financial Applications
ISBN: 3540894993 ISBN-13(EAN): 9783540894995
Издательство: Springer
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Цена: 60550.00 T
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Описание: This text provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations and martingale duality methods.

Advances and Trends in Optimization with Engineering Applications

Автор: Tamas Terlaky and Miguel F. Anjos
Название: Advances and Trends in Optimization with Engineering Applications
ISBN: 1611974674 ISBN-13(EAN): 9781611974676
Издательство: Mare Nostrum (Eurospan)
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Цена: 101640.00 T
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Описание: Optimization is of critical importance in engineering. This overview of state-of-the-art optimization techniques reviews 10 major areas of optimization and related engineering applications. It provides a solid foundation for engineers and mathematical optimizers alike who want to understand not only the importance of optimization methods to engineering but also the capabilities of current methods.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Автор: Dookie Kim, Sanjiban Sekhar Roy, Tim Lansivaara, Ravinesh Deo, Pijush Samui
Название: Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
ISBN: 1522547665 ISBN-13(EAN): 9781522547662
Издательство: Mare Nostrum (Eurospan)
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Цена: 344650.00 T
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Описание: The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers.The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Multilevel Optimization: Algorithms and Applications

Автор: A. Migdalas; Panos M. Pardalos; Peter V?rbrand
Название: Multilevel Optimization: Algorithms and Applications
ISBN: 0792346939 ISBN-13(EAN): 9780792346937
Издательство: Springer
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Цена: 250630.00 T
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Optimization Theory, Decision Making, and Operations Research Applications

Автор: Athanasios Migdalas; Angelo Sifaleras; Christos K
Название: Optimization Theory, Decision Making, and Operations Research Applications
ISBN: 1489985964 ISBN-13(EAN): 9781489985965
Издательство: Springer
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Цена: 111790.00 T
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Описание: These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011.

Advanced Optimization by Nature-Inspired Algorithms

Автор: Omid Bozorg-Haddad
Название: Advanced Optimization by Nature-Inspired Algorithms
ISBN: 9811052204 ISBN-13(EAN): 9789811052200
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

Optimization: Algorithms and Applications

Автор: Arora Rajesh Kumar
Название: Optimization: Algorithms and Applications
ISBN: 1498721125 ISBN-13(EAN): 9781498721127
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание:

Choose the Correct Solution Method for Your Optimization Problem

Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.

The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures--one of the first optimization books to do so--and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.

The author follows a step-by-step approach to developing the MATLAB(R) codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book's CRC Press web page.


Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions

Автор: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko
Название: Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions
ISBN: 1838671749 ISBN-13(EAN): 9781838671747
Издательство: Emerald
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Цена: 62330.00 T
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Описание: In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.


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