Metaheuristics for Enterprise Data Intelligence, Sakhare, Kaustubh Vaman ; Vyas, Vibha ; Shastri, A
Автор: Taymaz Akan, Ahmed M. Anter, A. ?ima Etaner-Uyar, Название: Engineering Applications of Modern Metaheuristics ISBN: 3031168313 ISBN-13(EAN): 9783031168314 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
Автор: Nakib Amir, Talbi El-Ghazali Название: Metaheuristics for Medicine and Biology ISBN: 366257196X ISBN-13(EAN): 9783662571965 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects.
Автор: Mauro Birattari Название: Tuning Metaheuristics ISBN: 3642101496 ISBN-13(EAN): 9783642101496 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metaheuristics are a relatively new but already established approachto c- binatorial optimization. A metaheuristic is a generic algorithmic template that can be used for ?nding high quality solutions of hard combinatorial - timization problems. To arrive at a functioning algorithm, a metaheuristic needs to be con?gured: typically some modules need to be instantiated and someparametersneedto betuned.Icallthese twoproblems"structural"and "parametric" tuning, respectively. More generally, I refer to the combination of the two problems as "tuning." Tuning is crucial to metaheuristic optimization both in academic research andforpracticalapplications.Nevertheless, relativelylittle researchhasbeen devoted to the issue. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine learning perspective, it is possible to give a formal de?nitionofthetuningproblemandtodevelopagenericalgorithmfortuning metaheuristics.Moreover, fromthemachinelearningperspectiveitispossible tohighlightsome?awsinthecurrentresearchmethodologyandtostatesome guidelines for future empirical analysis in metaheuristics research. This book is based on my doctoral dissertation and contains results I have obtained starting from 2001 while working within the Metaheuristics Net- 1 work. During these years I have been a?liated with two research groups: INTELLEKTIK, Technische Universit t Darmstadt, Darmstadt, Germany and IRIDIA, Universit Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas St tzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.
Автор: Cuevas Erik, Gбlvez Jorge, Avalos Omar Название: Recent Metaheuristics Algorithms for Parameter Identification ISBN: 3030289192 ISBN-13(EAN): 9783030289195 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems.
Автор: Kale Ishaan R., Kulkarni Anand J. Название: Constraint Handling in Cohort Intelligence Algorithm ISBN: 1032150750 ISBN-13(EAN): 9781032150758 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a valuable reference to practitioners, students and researchers in the area of optimization methods. CI is investigated by solving discrete variable truss structural problems, mixed variable design engineering problems, linear and nonlinear constrained test problems and real-world applications from the manufacturing domain.
Автор: Blum Christian, Raidl Gьnther R. Название: Hybrid Metaheuristics: Powerful Tools for Optimization ISBN: 3319809075 ISBN-13(EAN): 9783319809076 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: El-Ghazali Talbi Название: Metaheuristics for Bi-level Optimization ISBN: 3642378374 ISBN-13(EAN): 9783642378379 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a complete background on metaheuristics to solve complex bi-level optimization problems in a diverse range of application domains. It includes numerous examples that demonstrate how metaheuristics are applied in the real-world.
Автор: Eddaly Название: Metaheuristics for Machine Learning ISBN: 9811938873 ISBN-13(EAN): 9789811938870 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.
Описание: This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning.
Автор: Amir Nakib; El-Ghazali Talbi Название: Metaheuristics for Medicine and Biology ISBN: 3662544261 ISBN-13(EAN): 9783662544266 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects.
Описание: This book explores hot topics in the design, administration and management of dynamic grid environments. The emphasis is on preferences and autonomous decisions of system users, secure access to processed data and services and the use of green technologies.
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