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Advances in Energy System Optimization, Valentin Bertsch; Armin Ardone; Michael Suriyah; W


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Цена: 46570.00T
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Автор: Valentin Bertsch; Armin Ardone; Michael Suriyah; W
Название:  Advances in Energy System Optimization
ISBN: 9783030321567
Издательство: Springer
Классификация:



ISBN-10: 3030321568
Обложка/Формат: Hardcover
Страницы: 178
Вес: 0.45 кг.
Дата издания: 2020
Серия: Trends in Mathematics
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 40 tables, color; 41 illustrations, color; 18 illustrations, black and white; viii, 178 p. 59 illus., 41 illus. in color.
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Подзаголовок: Proceedings of the 2nd International Symposium on Energy System Optimization
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme “Bridging the Gap Between Mathematical Modelling and Policy Support” on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart.
Дополнительное описание: Part I Optimal Power Flow.- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN.- Security Analysis of Embedded HVDC in Transmission Grids.- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow


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
Наличие на складе: Невозможна поставка.
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.

Mathematical models and algorithms for power system optimization :

Автор: Fan, Mingtian,
Название: Mathematical models and algorithms for power system optimization :
ISBN: 0128132310 ISBN-13(EAN): 9780128132319
Издательство: Elsevier Science
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Цена: 150470.00 T
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Описание:

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.

  • Provides insights on the development of new mathematical models of power system optimization
  • Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
  • Includes research on the optimization of power systems and related practical research projects carried out since 1981

Recent Advances in System Modelling and Optimization

Автор: Luis Contesse; Rafael Correa; Andres Weintraub
Название: Recent Advances in System Modelling and Optimization
ISBN: 3540170839 ISBN-13(EAN): 9783540170839
Издательство: Springer
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Цена: 81050.00 T
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Advances in Metaheuristics for Hard Optimization

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 153720.00 T
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Recent Advances in Evolutionary Computation for Combinatorial Optimization

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3540708065 ISBN-13(EAN): 9783540708063
Издательство: Springer
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Цена: 181670.00 T
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Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.

Advances in Stochastic and Deterministic Global Optimization

Автор: Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il
Название: Advances in Stochastic and Deterministic Global Optimization
ISBN: 3319299735 ISBN-13(EAN): 9783319299730
Издательство: Springer
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Цена: 102480.00 T
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Описание: Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book.

This volume is dedicated to the 70th birthday of Antanas ?ilinskas who is a leading world expert in global optimization. Professor ?ilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.

Recent Advances in Computational Optimization

Автор: Stefka Fidanova
Название: Recent Advances in Computational Optimization
ISBN: 331912630X ISBN-13(EAN): 9783319126302
Издательство: Springer
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Цена: 104480.00 T
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Описание: Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013.

Advances in Optimization and Approximation

Автор: Ding-Zhu Du; Jie Sun
Название: Advances in Optimization and Approximation
ISBN: 0792327853 ISBN-13(EAN): 9780792327851
Издательство: Springer
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Цена: 241310.00 T
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Описание: Offers a collection of research papers in optimization and approximation that covers the research on optimization problems, including scheduling, location, assignment, linear and nonlinear programming problems as well as problems in molecular biology. This book focuses on algorithmic aspects of research work in optimization.

Advances in Convex Analysis and Global Optimization

Автор: Nicolas Hadjisavvas; Panos M. Pardalos
Название: Advances in Convex Analysis and Global Optimization
ISBN: 0792369424 ISBN-13(EAN): 9780792369424
Издательство: Springer
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Цена: 167700.00 T
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Описание: A conference on Convex Analysis and Global Optimization was held in 2000 in Greece in honour of the memory of C. Caratheodory (1873-1950). This volume contains a selection of papers based on talks presented at the conference. The two themes of convexity and global optimization pervade the book.

Recent Advances in Evolutionary Computation for Combinatorial Optimization

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3642089739 ISBN-13(EAN): 9783642089732
Издательство: Springer
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Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642401783 ISBN-13(EAN): 9783642401787
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
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Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642438776 ISBN-13(EAN): 9783642438776
Издательство: Springer
Рейтинг:
Цена: 95770.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.


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