Designing Evolutionary Algorithms for Dynamic Environments, Ronald W. Morrison
Автор: Shengxiang Yang; Yew-Soon Ong; Yaochu Jin Название: Evolutionary Computation in Dynamic and Uncertain Environments ISBN: 3642080650 ISBN-13(EAN): 9783642080654 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.
Описание: The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership.
Автор: Xinjie Yu; Mitsuo Gen Название: Introduction to Evolutionary Algorithms ISBN: 144712569X ISBN-13(EAN): 9781447125693 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ying-ping Chen Название: Exploitation of Linkage Learning in Evolutionary Algorithms ISBN: 3642263275 ISBN-13(EAN): 9783642263279 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.
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.
Автор: Xinjie Yu; Mitsuo Gen Название: Introduction to Evolutionary Algorithms ISBN: 184996128X ISBN-13(EAN): 9781849961288 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Ernesto Sanchez; Giovanni Squillero; Alberto Tonda Название: Industrial Applications of Evolutionary Algorithms ISBN: 364244346X ISBN-13(EAN): 9783642443466 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ivan Zelinka; Sergej Celikovsk?; Hendrik Richter; Название: Evolutionary Algorithms and Chaotic Systems ISBN: 3642262554 ISBN-13(EAN): 9783642262555 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ventura Название: Pattern Mining with Evolutionary Algorithms ISBN: 3319338579 ISBN-13(EAN): 9783319338576 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions.
This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns.
A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.
Автор: Petrowski Название: Evolutionary Algorithms: An Overview ISBN: 1848218044 ISBN-13(EAN): 9781848218048 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.
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.
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