Applications of Metaheuristics in Process Engineering, Jayaraman Valadi; Patrick Siarry
Автор: Gendreau Название: Handbook of Metaheuristics ISBN: 1441916636 ISBN-13(EAN): 9781441916631 Издательство: Springer Рейтинг: Цена: 222670.00 T Наличие на складе: Поставка под заказ. Описание: Metaheuristics have grown into one of the most prominent areas of operations research. This update of a trailblazing volume examines the latest developments in the field.
Автор: Joanna Ko?odziej Название: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems ISBN: 3642436617 ISBN-13(EAN): 9783642436611 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Xin-She Yang Название: Artificial Intelligence, Evolutionary Computing and Metaheuristics ISBN: 3642437036 ISBN-13(EAN): 9783642437038 Издательство: Springer Рейтинг: Цена: 241310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Joining in the centenary celebration of the life and work of Alan Turing, this book reviews the latest developments in artificial intelligence, evolutionary computation and metaheuristics, all of which can be traced back to Turing`s pioneer work.
Автор: Maria J. Blesa; Christian Blum; Angelo Cangelosi; Название: Hybrid Metaheuristics ISBN: 3319396358 ISBN-13(EAN): 9783319396354 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.
Автор: Jorge Magalh?es-Mendes; David Greiner Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management ISBN: 331920405X ISBN-13(EAN): 9783319204055 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.
Автор: Xin-She Yang; Gebrail Bekda?; Sinan Melih Nigdeli Название: Metaheuristics and Optimization in Civil Engineering ISBN: 3319262432 ISBN-13(EAN): 9783319262437 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering.
Автор: Jorge Magalh?es-Mendes; David Greiner Название: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management ISBN: 3319373218 ISBN-13(EAN): 9783319373218 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.
Автор: Patrick Siarry Название: Metaheuristics ISBN: 3319454013 ISBN-13(EAN): 9783319454016 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Simulated Annealing.- Tabu Search.- Search in Variable Neighborhoods.- The GRASP Search Algorithm.- Evolutionary Algorithms.- Artificial Ants.- Particle Swarms.- Other Metaheuristics.- Other Social Insect Algorithms.- Extending Evolutionary Algorithms for Multiobjective Optimization.- Extending Evolutionary Algorithms for Optimization Under Constraints.- Modeling and Comparison Methods.- Hybrid Metaheuristics for Optimizing Logistics.- Metaheuristics for Vehicle Routing Problems.- Applications in Air Traffic Management.
Автор: El-Ghazali Talbi Название: Metaheuristics for Bi-level Optimization ISBN: 3642378374 ISBN-13(EAN): 9783642378379 Издательство: Springer Рейтинг: Цена: 156720.00 T 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: Amir Nakib; El-Ghazali Talbi Название: Metaheuristics for Medicine and Biology ISBN: 3662544261 ISBN-13(EAN): 9783662544266 Издательство: Springer Рейтинг: Цена: 130430.00 T 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: Maria J. Blesa; Christian Blum; Stefan Vo? Название: Hybrid Metaheuristics ISBN: 3319076434 ISBN-13(EAN): 9783319076430 Издательство: Springer Рейтинг: Цена: 58690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 9th International Workshop on Hybrid Metaheuristics, HM 2014, held in Hamburg, Germany, in June 2014.
Автор: Enrique Alba; Amir Nakib; Patrick Siarry Название: Metaheuristics for Dynamic Optimization ISBN: 3642443702 ISBN-13(EAN): 9783642443701 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book summarizes trending topics and new research lines in solving dynamic problems using metaheuristics. Shows use of genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired techniques.
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