Автор: Anyong Qing; Ching Kwang Lee Название: Differential Evolution in Electromagnetics ISBN: 3662519208 ISBN-13(EAN): 9783662519202 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Differential evolution is a simple, yet very powerful, stochastic global optimizer. This book focuses on applications of differential evolution in electromagnetics, showcasing its effectiveness in solving synthesis and design problems in electromagnetics.
Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.
Автор: Thomas B?ck; Christophe Foussette; Peter Krause Название: Contemporary Evolution Strategies ISBN: 3662514087 ISBN-13(EAN): 9783662514085 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume, which includes the author`s own software package, tracks the development of evolutionary computation since 1990, with detailed evaluations of key approaches, pseudocode representations of each algorithm, and industry-applicable BBOB benchmarking.
Автор: Juan J. Romero; Penousal Machado Название: The Art of Artificial Evolution ISBN: 3642436668 ISBN-13(EAN): 9783642436666 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive book gives an up-to-date survey of the relevant bioinspired computing research fields - such as evolutionary computation, artificial life, swarm intelligence and ant colony algorithms - and examines applications in art, music and design.
Автор: Bruce McNutt Название: The Fractal Structure of Data Reference ISBN: 0792379454 ISBN-13(EAN): 9780792379454 Издательство: Springer Рейтинг: Цена: 22354.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces an alternative modeling framework in which arrivals are driven by a statistically self-similar underlying process, and are transient in nature. This book describes events as they play out at a range of time scales, from the operation of file buffers and storage control cache, to a statistical view of entire disk storage applications.
Описание: With chapters contributed by leading scientists from 20 research groups worldwide, this volume provides an overview of modern computer-based techniques to compute the structure, properties, and dynamics of biomolecules and biomolecular processes.
Автор: V?ctor G?mez Название: Multivariate Time Series With Linear State Space Structure ISBN: 331928598X ISBN-13(EAN): 9783319285986 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a comprehensive study of multivariate time serieswith linear state space structure. The strength of the book also lies in the numerous algorithms includedfor state space models that take advantage of the recursive nature of themodels.
Автор: Lucian Bu?oniu; Levente Tam?s Название: Handling Uncertainty and Networked Structure in Robot Control ISBN: 3319263250 ISBN-13(EAN): 9783319263250 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisbook focuses on two challenges posed in robot control by the increasingadoption of robots in the everyday human environment: uncertainty and networkedcommunication.
Описание: This book presents TraceME, a traceability-based method for conceptual model evolution whose general purpose is to support the evolution of information systems.
Автор: St?phane Bonnevay; Pierrick Legrand; Nicolas Monma Название: Artificial Evolution ISBN: 331931470X ISBN-13(EAN): 9783319314709 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Evolutionary Computation.- Evolutionary Optimization, Co-evolution, .- Artificial Life.- Population Dynamics.- Theory, Algorithmics and Modeling.- Implementations.- Application of Evolutionary Paradigms to the Real World
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