Linkage in Evolutionary Computation, Ying-ping Chen

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.

Автор: Siddhartha Shakya; Roberto Santana
Название: Markov Networks in Evolutionary Computation
ISBN: 3642444946 ISBN-13(EAN): 9783642444944
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book focuses on the different steps involved in the conception, implementation and application of Estimation of distribution algorithms (EDAs) that use Markov networks and undirected models in general.

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3642089739 ISBN-13(EAN): 9783642089732
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3540708065 ISBN-13(EAN): 9783540708063
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.

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.
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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.

Автор: Ang Yang; Yin Shan; Lam Thu Bui
Название: Success in Evolutionary Computation
ISBN: 354076285X ISBN-13(EAN): 9783540762850
Издательство: Springer
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Цена: 30606.00 р.
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Описание: There can be little surprise that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. This book brings together some of the EC applications in fields to offer the audience, including EC researchers and practitioners, a glimpse of this exciting field.