Metaheuristics and Optimization in Computer and Electrical Engineering, Razmjooy Navid, Ashourian Mohsen, Foroozandeh Zahra

Автор: Razmjooy Navid, Ashourian Mohsen, Foroozandeh Zahra
Название: Metaheuristics and Optimization in Computer and Electrical Engineering
ISBN: 3030566889 ISBN-13(EAN): 9783030566883
Издательство: Springer
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 153720.00 T
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Автор: Greco Salvatore, Pavone Mario F., Talbi El-Ghazali
Название: Metaheuristics for Combinatorial Optimization
ISBN: 3030685195 ISBN-13(EAN): 9783030685195
Издательство: Springer
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible guide will tell you everything you need to know about parenting a child with a hidden condition, such as autism, dyspraxia, ADHD or bipolar, whether or not a formal diagnosis has been received. With information on various conditions and diagnoses, it includes candid advice and strategies from parents as well as young adults who grew up with a hidden condition themselves.

Автор: Johann Dr?o; A. Chatterjee; Alain P?trowski; Patri
Название: Metaheuristics for Hard Optimization
ISBN: 364206194X ISBN-13(EAN): 9783642061943
Издательство: Springer
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Цена: 93130.00 T
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Описание: Contains case studies from engineering and operations researchIncludes commented literature for each chapter

Автор: Enrique Alba; Amir Nakib; Patrick Siarry
Название: Metaheuristics for Dynamic Optimization
ISBN: 3642443702 ISBN-13(EAN): 9783642443701
Издательство: Springer
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Цена: 139310.00 T
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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.

Автор: Sarmah Dipti Kapoor, Kulkarni Anand J., Abraham Ajith
Название: Optimization Models in Steganography Using Metaheuristics
ISBN: 3030420469 ISBN-13(EAN): 9783030420468
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm.

Автор: Yang Xin-She, Bekdaş Gebrail, Nigdeli Sinan Melih
Название: Metaheuristics and Optimization in Civil Engineering
ISBN: 3319799142 ISBN-13(EAN): 9783319799148
Издательство: Springer
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Цена: 93160.00 T
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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: El-Ghazali Talbi
Название: Metaheuristics for Bi-level Optimization
ISBN: 3642378374 ISBN-13(EAN): 9783642378379
Издательство: Springer
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Цена: 156720.00 T
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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: Chopard Bastien, Tomassini Marco
Название: An Introduction to Metaheuristics for Optimization
ISBN: 3319930729 ISBN-13(EAN): 9783319930725
Издательство: Springer
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Цена: 46570.00 T
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Описание: The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

Автор: Sarmah Dipti Kapoor, Kulkarni Anand J., Abraham Ajith
Название: Optimization Models in Steganography Using Metaheuristics
ISBN: 3030420434 ISBN-13(EAN): 9783030420437
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm.

Автор: Blum Christian, Raidl Gьnther R.
Название: Hybrid Metaheuristics: Powerful Tools for Optimization
ISBN: 3319809075 ISBN-13(EAN): 9783319809076
Издательство: Springer
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Цена: 121110.00 T
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Автор: Du Ke-Lin, Swamy M. N. S.
Название: Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature
ISBN: 331982290X ISBN-13(EAN): 9783319822907
Издательство: Springer
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Цена: 55890.00 T
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Описание: Preface.- Introduction.- Simulated Annealing.- Optimization by Recurrent Neural Networks.- Genetic Algorithms and Genetic Programming.- Evolutionary Strategies.- Differential Evolution.- Estimation of Distribution Algorithms.- Mimetic Algorithms.- Topics in EAs.- Particle Swarm Optimization.- Artificial Immune Systems.- Ant Colony Optimization.- Tabu Search and Scatter Search.- Bee Metaheuristics.- Harmony Search.- Biomolecular Computing.- Quantum Computing.- Other Heuristics-Inspired Optimization Methods.- Dynamic, Multimodal, and Constraint-Satisfaction Optimizations.- Multiobjective Optimization.- Appendix 1: Discrete Benchmark Functions.- Appendix 2: Test Functions.- Index.