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Metaheuristics in Machine Learning: Theory and Applications, Oliva Diego, Houssein Essam H., Hinojosa Salvador


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Автор: Oliva Diego, Houssein Essam H., Hinojosa Salvador
Название:  Metaheuristics in Machine Learning: Theory and Applications
ISBN: 9783030705411
Издательство: Springer
Классификация:

ISBN-10: 3030705412
Обложка/Формат: Hardcover
Страницы: 769
Вес: 1.26 кг.
Дата издания: 19.08.2021
Язык: English
Размер: 23.39 x 15.60 x 4.14 cm
Ссылка на Издательство: Link
Поставляется из: Германии
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.

Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected

Автор: Thampi Sabu M., Piramuthu Selwyn, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected
ISBN: 9811604185 ISBN-13(EAN): 9789811604188
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions.

Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select

Автор: Thampi Sabu M., Trajkovic Ljiljana, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select
ISBN: 9811543003 ISBN-13(EAN): 9789811543005
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions.

Handbook of Approximation Algorithms and Metaheuristics

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.

Advances in Metaheuristics Algorithms: Methods and Applications

Автор: Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros
Название: Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 3030077365 ISBN-13(EAN): 9783030077365
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Поставка под заказ.
Описание:

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

Optimization using evolutionary algorithms and metaheuristics

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.

Recent Advances in Hybrid Metaheuristics for Data Clustering

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.

Constraint Handling in Metaheuristics and Applications

Автор: Kulkarni Anand J., Mezura-Montes Efrйn, Wang Yong
Название: Constraint Handling in Metaheuristics and Applications
ISBN: 9813367091 ISBN-13(EAN): 9789813367098
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques.

Hybrid Metaheuristics: Research and Applications

Автор: Bhattacharyya Siddhartha
Название: Hybrid Metaheuristics: Research and Applications
ISBN: 9813270225 ISBN-13(EAN): 9789813270220
Издательство: World Scientific Publishing
Рейтинг:
Цена: 116160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.

This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.

The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.


Advances in Metaheuristics Algorithms: Methods and Applications

Автор: Cuevas
Название: Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 3319893084 ISBN-13(EAN): 9783319893082
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems.

Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

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.

Applications of Metaheuristics in Process Engineering

Автор: Jayaraman Valadi; Patrick Siarry
Название: Applications of Metaheuristics in Process Engineering
ISBN: 3319357042 ISBN-13(EAN): 9783319357041
Издательство: Springer
Рейтинг:
Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization.

Metaheuristics for Robotics

Автор: Hamouche Oulhadj, Boubaker Daachi, Riad Menasri
Название: Metaheuristics for Robotics
ISBN: 1786303809 ISBN-13(EAN): 9781786303806
Издательство: Wiley
Рейтинг:
Цена: 146730.00 T
Наличие на складе: Поставка под заказ.
Описание:

This book is dedicated to the application of metaheuristic optimization in trajectory generation and control issues in robotics. In this area, as in other fields of application, the algorithmic tools addressed do not require a comprehensive list of eligible solutions to effectively solve an optimization problem. This book investigates how, by reformulating the problems to be solved, it is possible to obtain results by means of metaheuristics.

Through concrete examples and case studies ? particularly related to robotics ? this book outlines the essentials of what is needed to reformulate control laws into concrete optimization data.

The resolution approaches implemented ? as well as the results obtained ? are described in detail, in order to give, as much as possible, an idea of metaheuristics and their performance within the context of their application to robotics.



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