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Representations for Genetic and Evolutionary Algorithms, D.E. Goldberg; Franz Rothlauf


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Автор: D.E. Goldberg; Franz Rothlauf
Название:  Representations for Genetic and Evolutionary Algorithms
ISBN: 9783642880964
Издательство: Springer
Классификация:


ISBN-10: 3642880967
Обложка/Формат: Paperback
Страницы: 290
Вес: 0.44 кг.
Дата издания: 18.04.2012
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 17
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given.


Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Support Vector Machines and Evolutionary Algorithms for Classification

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319069403 ISBN-13(EAN): 9783319069401
Издательство: Springer
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Цена: 18284.00 р.
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

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.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Автор: L. Padma Suresh; Subhransu Sekhar Dash; Bijaya Ket
Название: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
ISBN: 8132221257 ISBN-13(EAN): 9788132221258
Издательство: Springer
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Цена: 32142.00 р.
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Описание: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Автор: L Padma Suresh; Subhransu Sekhar Dash; Bijaya Keta
Название: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
ISBN: 8132221346 ISBN-13(EAN): 9788132221340
Издательство: Springer
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Цена: 32142.00 р.
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Описание: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India.

Variants of Evolutionary Algorithms for Real-World Applications

Автор: Raymond Chiong; Thomas Weise; Zbigniew Michalewicz
Название: Variants of Evolutionary Algorithms for Real-World Applications
ISBN: 3642440584 ISBN-13(EAN): 9783642440588
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book offers a comprehensive discussion of the ways that Evolutionary Algorithms can be adapted to real-world problems such as production process planning, inventory system and supply chain network optimisation, soil properties analysis and more.

Support Vector Machines and Evolutionary Algorithms for Classification

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319382438 ISBN-13(EAN): 9783319382432
Издательство: Springer
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Цена: 15672.00 р.
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

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.

Information Processing with Evolutionary Algorithms

Автор: Manuel Grana; Richard J. Duro; Alicia d`Anjou; Pau
Название: Information Processing with Evolutionary Algorithms
ISBN: 1852338660 ISBN-13(EAN): 9781852338664
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Information Processing with Evolutionary Algorithms

Автор: Manuel Grana; Richard J. Duro; Alicia d`Anjou; Pau
Название: Information Processing with Evolutionary Algorithms
ISBN: 184996937X ISBN-13(EAN): 9781849969376
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Designing Evolutionary Algorithms for Dynamic Environments

Автор: Ronald W. Morrison
Название: Designing Evolutionary Algorithms for Dynamic Environments
ISBN: 364205952X ISBN-13(EAN): 9783642059520
Издательство: Springer
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Цена: 10754.00 р.
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Описание: The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre- viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com- putational efficiency, performance measurement, and the testing of EAs in dynamic environments.

Evolutionary Algorithms

Автор: William M. Spears
Название: Evolutionary Algorithms
ISBN: 3642086241 ISBN-13(EAN): 9783642086243
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms.


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