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Introduction to Evolutionary Algorithms, Xinjie Yu; Mitsuo Gen


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Автор: Xinjie Yu; Mitsuo Gen
Название:  Introduction to Evolutionary Algorithms
ISBN: 9781849961288
Издательство: Springer
Классификация:





ISBN-10: 184996128X
Обложка/Формат: Hardback
Страницы: 435
Вес: 0.80 кг.
Дата издания: 2010
Серия: Decision Engineering
Язык: English
Иллюстрации: 168 black & white illustrations, 15 black & white tables, biography
Размер: 166 x 241 x 31
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.


Robotics: A Very Short Introduction

Автор: Winfield Alan
Название: Robotics: A Very Short Introduction
ISBN: 0199695989 ISBN-13(EAN): 9780199695980
Издательство: Oxford Academ
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Цена: 1582.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Robotics is a key technology in the modern world. Yet, despite these successes, robots have failed to live up to the predictions of the 1950s and 60s. In this Very Short Introduction, Alan Winfield considers how robotics can be both a success story and a disappointment, and how robots can be both ordinary and quite remarkable.

Introduction to evolvable hardware

Автор: Greenwood, Garrison W. Tyrrell, Andrew M.
Название: Introduction to evolvable hardware
ISBN: 0471719773 ISBN-13(EAN): 9780471719779
Издательство: Wiley
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Цена: 10850.00 р.
Наличие на складе: Поставка под заказ.

Описание: Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems provides a fundamental introduction for engineers, designers, and managers involved in the development of adaptive, high reliability systems. It also introduces the concepts of evolvable hardware (EHW) to new researchers in a structured way. .

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.

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.
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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.

Introduction to the Theory of Coherence and Polarization of Light

Автор: Emil Wolf
Название: Introduction to the Theory of Coherence and Polarization of Light
ISBN: 0521822114 ISBN-13(EAN): 9780521822114
Издательство: Cambridge Academ
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Цена: 9346.00 р.
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Описание: This book is the first to provide a unified treatment, made possible by discoveries largely due to the author, of the two aspects of statistical optics: coherence theory, and the phenomenon of polarization. It will be of great interest to graduate students and researchers in physics and engineering.

Introduction to Evolutionary Algorithms

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 144712569X ISBN-13(EAN): 9781447125693
Издательство: Springer
Рейтинг:
Цена: 27251.00 р.
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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 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.

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
Рейтинг:
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.


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