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Hybrid Evolutionary Algorithms, Crina Grosan; Ajith Abraham; Hisao Ishibuchi


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Цена: 181670.00T
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Автор: Crina Grosan; Ajith Abraham; Hisao Ishibuchi
Название:  Hybrid Evolutionary Algorithms
ISBN: 9783642092350
Издательство: Springer
Классификация: ISBN-10: 3642092357
Обложка/Формат: Paperback
Страницы: 420
Вес: 0.58 кг.
Дата издания: 2007
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 22
Читательская аудитория: Science
Ссылка на Издательство: Link
Поставляется из: Германии
Описание:

Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in Hybrid Evolutionary Algorithms. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.



Analyzing Evolutionary Algorithms

Автор: Jansen
Название: Analyzing Evolutionary Algorithms
ISBN: 3642173381 ISBN-13(EAN): 9783642173387
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Невозможна поставка.
Описание: By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step.

Pattern Mining with Evolutionary Algorithms

Автор: Ventura
Название: Pattern Mining with Evolutionary Algorithms
ISBN: 3319338579 ISBN-13(EAN): 9783319338576
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions.
This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns.
A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.

Evolutionary Robotics: From Algorithms To Implementations

Автор: Wang Ling-Feng Et Al
Название: Evolutionary Robotics: From Algorithms To Implementations
ISBN: 9813203323 ISBN-13(EAN): 9789813203327
Издательство: World Scientific Publishing
Цена: 50690.00 T
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Описание:

This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material.The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels.


Introduction to Evolutionary Algorithms

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 184996128X ISBN-13(EAN): 9781849961288
Издательство: Springer
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Цена: 181670.00 T
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Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

Introduction to Evolutionary Algorithms

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 144712569X ISBN-13(EAN): 9781447125693
Издательство: Springer
Рейтинг:
Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

Evolutionary Optimization Algorithms

Автор: Simon, Dan
Название: Evolutionary Optimization Algorithms
ISBN: 0470937416 ISBN-13(EAN): 9780470937419
Издательство: Wiley
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Цена: 117160.00 T
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Описание: This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs.


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