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Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems, Wang Huiwei, Li Huaqing, Zhou Bo


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Цена: 179510.00T
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Автор: Wang Huiwei, Li Huaqing, Zhou Bo
Название:  Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems
ISBN: 9789813345270
Издательство: Springer
Классификация:


ISBN-10: 9813345276
Обложка/Формат: Hardcover
Страницы: 217
Вес: 0.52 кг.
Дата издания: 06.02.2021
Язык: English
Размер: 23.50 x 15.49 x 1.42 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: This book provides the fundamental theory of distributed optimization, game and learning. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Optimization Concepts and Applications in Engineering

Автор: Ashok D. Belegundu, Tirupathi R. Chandrupatla
Название: Optimization Concepts and Applications in Engineering
ISBN: 1108424880 ISBN-13(EAN): 9781108424882
Издательство: Cambridge Academ
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Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised and expanded third edition, this book integrates theory, modeling, the development of numerical methods, and problem solving to apply optimization to real-world problems. This book is ideal for advanced undergraduate, graduate and applied mathematics courses as well as practicing engineers.

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

Автор: Tatiana Tatarenko
Название: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
ISBN: 3319654780 ISBN-13(EAN): 9783319654782
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors.

Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems

Автор: Wang Huiwei, Li Huaqing, Zhou Bo
Название: Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems
ISBN: 9813345306 ISBN-13(EAN): 9789813345300
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the fundamental theory of distributed optimization, game and learning. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications

Автор: Vassilios S. Vassiliadis et al
Название: Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications
ISBN: 1107106834 ISBN-13(EAN): 9781107106833
Издательство: Cambridge Academ
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Цена: 81310.00 T
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Описание: A modern and unique treatment of process optimization which presents a thorough exposition of applications and algorithms in sufficient detail for practical use. A perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

Distributed control and optimization technologies in smart grid systems

Автор: Guo, Fanghong (agency For Science, Technology And Research, Singapore) Wen, Changyun Song, Yong-duan (chongqing University, China)
Название: Distributed control and optimization technologies in smart grid systems
ISBN: 1138088595 ISBN-13(EAN): 9781138088597
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: The book aims to equalize the theoretical involvement with industrial practicality by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems.

Distributed Optimization: Advances in Theories, Methods, and Applications

Автор: Li Huaqing, Lь Qingguo, Wang Zheng
Название: Distributed Optimization: Advances in Theories, Methods, and Applications
ISBN: 9811561087 ISBN-13(EAN): 9789811561085
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization;

Distributed Optimization: Advances in Theories, Methods, and Applications

Автор: Li Huaqing, Lь Qingguo, Wang Zheng
Название: Distributed Optimization: Advances in Theories, Methods, and Applications
ISBN: 9811561117 ISBN-13(EAN): 9789811561115
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization;

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: Algorithms and Applications

Автор: Arora Rajesh Kumar
Название: Optimization: Algorithms and Applications
ISBN: 1498721125 ISBN-13(EAN): 9781498721127
Издательство: Taylor&Francis
Рейтинг:
Цена: 193950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


Handbook of Research on Emergent Applications of Optimization Algorithms

Автор: Pandian Vasant, Sirma Zeynep Alparslan-Gok, Gerhard-Wilhelm Weber
Название: Handbook of Research on Emergent Applications of Optimization Algorithms
ISBN: 152252990X ISBN-13(EAN): 9781522529903
Издательство: Mare Nostrum (Eurospan)
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Цена: 432430.00 T
Наличие на складе: Невозможна поставка.
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.

Biogeography-Based Optimization: Algorithms and Applications

Автор: Yujun Zheng; Xueqin Lu; Minxia Zhang; Shengyong Ch
Название: Biogeography-Based Optimization: Algorithms and Applications
ISBN: 9811325855 ISBN-13(EAN): 9789811325854
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Автор: Carbas Serdar, Toktas Abdurrahim, Ustun Deniz
Название: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
ISBN: 9813367725 ISBN-13(EAN): 9789813367722
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications.


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