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Advances in Metaheuristics Algorithms: Methods and Applications, Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros


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Автор: Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros
Название:  Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 9783030077365
Издательство: Springer
Классификация:

ISBN-10: 3030077365
Обложка/Формат: Soft cover
Страницы: 218
Вес: 0.36 кг.
Дата издания: 2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 13 illustrations, color; 35 illustrations, black and white; xiv, 218 p. 48 illus., 13 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

Дополнительное описание: Introduction.- The metaheuristic algorithm of the social-spider.- Calibration of Fractional Fuzzy Controllers by using the Social-spider method.- The metaheuristic algorithm of the Locust-search.- Identification of fractional chaotic systems by using the



Handbook of Metaheuristics

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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Цена: 33401.00 р.
Наличие на складе: Поставка под заказ.

Описание: Metaheuristics have grown into one of the most prominent areas of operations research. This update of a trailblazing volume examines the latest developments in the field.

Hybrid Metaheuristics: Research and Applications

Автор: Bhattacharyya Siddhartha
Название: Hybrid Metaheuristics: Research and Applications
ISBN: 9813270225 ISBN-13(EAN): 9789813270220
Издательство: World Scientific Publishing
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Цена: 17424.00 р.
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Описание:

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.

This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.

The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.

Metaheuristics

Автор: Patrick Siarry
Название: Metaheuristics
ISBN: 3319454013 ISBN-13(EAN): 9783319454016
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Introduction.- Simulated Annealing.- Tabu Search.- Search in Variable Neighborhoods.- The GRASP Search Algorithm.- Evolutionary Algorithms.- Artificial Ants.- Particle Swarms.- Other Metaheuristics.- Other Social Insect Algorithms.- Extending Evolutionary Algorithms for Multiobjective Optimization.- Extending Evolutionary Algorithms for Optimization Under Constraints.- Modeling and Comparison Methods.- Hybrid Metaheuristics for Optimizing Logistics.- Metaheuristics for Vehicle Routing Problems.- Applications in Air Traffic Management.

Applications of Metaheuristics in Process Engineering

Автор: Jayaraman Valadi; Patrick Siarry
Название: Applications of Metaheuristics in Process Engineering
ISBN: 3319357042 ISBN-13(EAN): 9783319357041
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization.

Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

Автор: Jorge Magalh?es-Mendes; David Greiner
Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management
ISBN: 3319373218 ISBN-13(EAN): 9783319373218
Издательство: Springer
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Цена: 13059.00 р.
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Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.

Theory and Principled Methods for the Design of Metaheuristics

Автор: Yossi Borenstein; Alberto Moraglio
Название: Theory and Principled Methods for the Design of Metaheuristics
ISBN: 3662519550 ISBN-13(EAN): 9783662519554
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book describes methods for incorporating problem knowledge in evolutionary algorithms and other metaheuristics, and shows how statistical methods can use experimental data to enhance the performance of existing metaheuristics in a systematic way.

Advances in Metaheuristics Algorithms: Methods and Applications

Автор: Cuevas
Название: Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 3319893084 ISBN-13(EAN): 9783319893082
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems.

Recent Metaheuristics Algorithms for Parameter Identification

Автор: Cuevas Erik, Galvez Jorge, Avalos Omar
Название: Recent Metaheuristics Algorithms for Parameter Identification
ISBN: 3030289168 ISBN-13(EAN): 9783030289164
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems.

Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

Автор: Jorge Magalh?es-Mendes; David Greiner
Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management
ISBN: 331920405X ISBN-13(EAN): 9783319204055
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.

Metaheuristics Algorithms in Power Systems

Автор: Erik Cuevas; Emilio Barocio Espejo; Arturo Conde E
Название: Metaheuristics Algorithms in Power Systems
ISBN: 3030115925 ISBN-13(EAN): 9783030115920
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

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: 23058.00 р.
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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.

Hybrid Metaheuristics for Image Analysis

Автор: Siddhartha Bhattacharyya
Название: Hybrid Metaheuristics for Image Analysis
ISBN: 3030084973 ISBN-13(EAN): 9783030084974
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.


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