Описание: 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.
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: 16769.00 р. 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.
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.
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.
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 Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ashok D. Belegundu, Tirupathi R. Chandrupatla Название: Optimization Concepts and Applications in Engineering ISBN: 1108424880 ISBN-13(EAN): 9781108424882 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. 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.
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;
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;
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.
Автор: A. Migdalas; Panos M. Pardalos; Peter V?rbrand Название: Multilevel Optimization: Algorithms and Applications ISBN: 0792346939 ISBN-13(EAN): 9780792346937 Издательство: Springer Рейтинг: Цена: 37594.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Arora Rajesh Kumar Название: Optimization: Algorithms and Applications ISBN: 1498721125 ISBN-13(EAN): 9781498721127 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. 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.
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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