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.
Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation
Автор: Jose A. Lozano; Pedro Larra?aga; I?aki Inza; Endik Название: Towards a New Evolutionary Computation ISBN: 3642067042 ISBN-13(EAN): 9783642067044 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization.
Автор: Ang Yang; Yin Shan; Lam Thu Bui Название: Success in Evolutionary Computation ISBN: 354076285X ISBN-13(EAN): 9783540762850 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ying-ping Chen Название: Linkage in Evolutionary Computation ISBN: 3540850678 ISBN-13(EAN): 9783540850670 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The issue of linkage in GEAs has garnered recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. This title presents a work which shows that such parameters tweaking based approaches have their limits.
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: Cecilia Di Chio; Stefano Cagnoni; Carlos Cotta; Ma Название: Applications of Evolutionary Computation ISBN: 3642122388 ISBN-13(EAN): 9783642122385 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since 1998, EvoApplications - formerly known as EvoWorkshops- has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains.
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