Evolutionary Search and the Job Shop, Dirk C. Mattfeld
Автор: Ruhul A. Sarker; Tapabrata Ray Название: Agent-Based Evolutionary Search ISBN: 3642263682 ISBN-13(EAN): 9783642263682 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms.
Автор: Ying-ping Chen Название: Exploitation of Linkage Learning in Evolutionary Algorithms ISBN: 3642263275 ISBN-13(EAN): 9783642263279 Издательство: Springer Рейтинг: Цена: 158380.00 T 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: 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: 174130.00 T 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: Enrique Alba Название: Parallel Evolutionary Computations ISBN: 3642069398 ISBN-13(EAN): 9783642069390 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.
Автор: Carlos Cotta; Jano van Hemert Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization ISBN: 3642089739 ISBN-13(EAN): 9783642089732 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Linkage in Evolutionary Computation ISBN: 3540850678 ISBN-13(EAN): 9783540850670 Издательство: Springer Рейтинг: Цена: 181670.00 T 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.
Автор: Stefano Cagnoni Название: Evolutionary Image Analysis and Signal Processing ISBN: 3642101852 ISBN-13(EAN): 9783642101854 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is mostly papers selected from EvoIASP 2007, an event dedicated to evolutionary image analysis and signal processing. It covers the latest on evolutionary computation techniques in computer vision, pattern recognition, image and signal processing.
Автор: Oscar Castillo; Witold Pedrycz Название: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control ISBN: 3642045138 ISBN-13(EAN): 9783642045134 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.
Автор: Stefano Cagnoni Название: Evolutionary Image Analysis and Signal Processing ISBN: 3642016359 ISBN-13(EAN): 9783642016356 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers readers a view of what can be achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. This book consists of extended versions of a selection of papers which were presented at editions of "EvoIASP".
Автор: Ernesto Sanchez; Giovanni Squillero; Alberto Tonda Название: Industrial Applications of Evolutionary Algorithms ISBN: 364244346X ISBN-13(EAN): 9783642443466 Издательство: Springer Рейтинг: Цена: 104480.00 T 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: Daniel L?ckehe Название: Evolutionary Wind Turbine Placement Optimization with Geographical Constraints ISBN: 3658184647 ISBN-13(EAN): 9783658184643 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Daniel Luckehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices.
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