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Introduction to Evolutionary Algorithms, Xinjie Yu; Mitsuo Gen


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Цена: 27251.00р.
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Автор: Xinjie Yu; Mitsuo Gen
Название:  Introduction to Evolutionary Algorithms
ISBN: 9781447125693
Издательство: Springer
Классификация:







ISBN-10: 144712569X
Обложка/Формат: Paperback
Страницы: 422
Вес: 0.61 кг.
Дата издания: 2010
Серия: Decision Engineering
Язык: English
Иллюстрации: 168 black & white illustrations, 15 black & white tables, biography
Размер: 229 x 155 x 25
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
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 algorithms  3 ed.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: MIT Press
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Цена: 27588.00 р.
Наличие на складе: Нет в наличии.

Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Evolutionary Algorithms and Chaotic Systems

Автор: Ivan Zelinka; Sergej Celikovsk?; Hendrik Richter;
Название: Evolutionary Algorithms and Chaotic Systems
ISBN: 3642262554 ISBN-13(EAN): 9783642262555
Издательство: Springer
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Цена: 41787.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Exploitation of Linkage Learning in Evolutionary Algorithms

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642263275 ISBN-13(EAN): 9783642263279
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Exploitation of Linkage Learning in Evolutionary Algorithms

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Industrial Applications of Evolutionary Algorithms

Автор: Ernesto Sanchez; Giovanni Squillero; Alberto Tonda
Название: Industrial Applications of Evolutionary Algorithms
ISBN: 364244346X ISBN-13(EAN): 9783642443466
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Ideal as a reference both for experienced users and novices, this publication combines a thorough introduction to evolutionary computation with details of its application to real-world problems and advice on tackling a wealth of issues in its implementation.

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: 13275.00 р.
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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.
Introduction to the Analysis of Algorithms

Автор: Soltys Michael
Название: Introduction to the Analysis of Algorithms
ISBN: 9814401153 ISBN-13(EAN): 9789814401159
Издательство: World Scientific Publishing
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Цена: 8554.00 р.
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Описание: Suitable for students and engineers alike, specifically software engineers who design reliable code, this title covers the traditional algorithms of Computer Science such as Greedy, Dynamic Programming and Divide & Conquer.

Evolutionary Algorithms: An Overview

Автор: Petrowski
Название: Evolutionary Algorithms: An Overview
ISBN: 1848218044 ISBN-13(EAN): 9781848218048
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.

Introduction To Evolutionary Informatics

Автор: Marks Ii Robert J Et Al
Название: Introduction To Evolutionary Informatics
ISBN: 9813142146 ISBN-13(EAN): 9789813142145
Издательство: World Scientific Publishing
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Цена: 7603.00 р.
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Описание:

Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature.

Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information.

This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.

Introduction to Evolutionary Algorithms

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 184996128X ISBN-13(EAN): 9781849961288
Издательство: Springer
Рейтинг:
Цена: 27251.00 р.
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.


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