Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature, Du Ke-Lin, Swamy M. N. S.
Автор: El-Ghazali Talbi Название: Metaheuristics for Bi-level Optimization ISBN: 3642442250 ISBN-13(EAN): 9783642442254 Издательство: Springer Рейтинг: Цена: 139310.00 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: Kaushik Kumar and J. Paulo Davim Название: Optimization using evolutionary algorithms and metaheuristics ISBN: 0367260441 ISBN-13(EAN): 9780367260446 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Нет в наличии. Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.
Название: Handbook of Approximation Algorithms and Metaheuristics ISBN: 1498770150 ISBN-13(EAN): 9781498770156 Издательство: Taylor&Francis Рейтинг: Цена: 433840.00 T Наличие на складе: Нет в наличии. Описание: This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.
Автор: Fouad Bennis; Rajib Kumar Bhattacharjya Название: Nature-Inspired Methods for Metaheuristics Optimization ISBN: 3030264572 ISBN-13(EAN): 9783030264574 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Автор: Peng-Yeng Yin Название: Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches ISBN: 1466621451 ISBN-13(EAN): 9781466621459 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.
Автор: Patrick Siarry; Zbigniew Michalewicz Название: Advances in Metaheuristics for Hard Optimization ISBN: 3642092063 ISBN-13(EAN): 9783642092060 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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: 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: Chopard Bastien, Tomassini Marco Название: An Introduction to Metaheuristics for Optimization ISBN: 3319930729 ISBN-13(EAN): 9783319930725 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: de Sourav, Dey Sandip, Bhattacharyya Siddhartha Название: Recent Advances in Hybrid Metaheuristics for Data Clustering ISBN: 1119551595 ISBN-13(EAN): 9781119551591 Издательство: Wiley Рейтинг: Цена: 110830.00 T Наличие на складе: Поставка под заказ. Описание:
An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques
Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors--noted experts on the topic--provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering.
The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text:
Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts
Offers an in-depth analysis of a range of optimization algorithms
Highlights a review of data clustering
Contains a detailed overview of different standard metaheuristics in current use
Presents a step-by-step guide to the build-up of hybrid metaheuristics
Offers real-life case studies and applications
Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.
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.
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.
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