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Hybrid Metaheuristics for Image Analysis, Bhattacharyya


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Цена: 13974.00р.
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Автор: Bhattacharyya
Название:  Hybrid Metaheuristics for Image Analysis
ISBN: 9783319776248
Издательство: Springer
Классификация:

ISBN-10: 331977624X
Обложка/Формат: Hardcover
Страницы: 256
Вес: 0.55 кг.
Дата издания: 2018
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 50 illustrations, color; 50 illustrations, black and white; xii, 256 p. 100 illus., 50 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Основная тема: Artificial Intelligence (incl. Robotics)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms.- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation.- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers.- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm.- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization.- Image Segmentation Using Metaheuristic-Based DeformableModels.- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection.- Image Thresholding Based on Fuzzy Particle Swarm Optimization.- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.




Handbook of Metaheuristics

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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Цена: 33401.00 р.
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.

Hybrid Metaheuristics

Автор: Christian Blum; Andrea Roli; Michael Sampels
Название: Hybrid Metaheuristics
ISBN: 3642096972 ISBN-13(EAN): 9783642096976
Издательство: Springer
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Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Optimization problems are of great importance across a broad range of fields. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Hybrid Metaheuristics for Image Analysis

Автор: Siddhartha Bhattacharyya
Название: Hybrid Metaheuristics for Image Analysis
ISBN: 3030084973 ISBN-13(EAN): 9783030084974
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

Hybrid Metaheuristics

Автор: Maria J. Blesa; Christian Blum; Stefan Vo?
Название: Hybrid Metaheuristics
ISBN: 3319076434 ISBN-13(EAN): 9783319076430
Издательство: Springer
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Цена: 8803.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th International Workshop on Hybrid Metaheuristics, HM 2014, held in Hamburg, Germany, in June 2014.

Hybrid Metaheuristics: Research and Applications

Автор: Bhattacharyya Siddhartha
Название: Hybrid Metaheuristics: Research and Applications
ISBN: 9813270225 ISBN-13(EAN): 9789813270220
Издательство: World Scientific Publishing
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Цена: 17424.00 р.
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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.

Hybrid Metaheuristics

Автор: Maria J. Blesa Aguilera; Christian Blum; Haroldo G
Название: Hybrid Metaheuristics
ISBN: 3030059820 ISBN-13(EAN): 9783030059828
Издательство: Springer
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Цена: 8104.00 р.
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Описание: This book constitutes the refereed proceedings of the 11th International Workshop on Hybrid Metaheuristics, HM 2019, held in Concepci?n, Chile, in January 2019. The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions. The papers present hybridization strategies and explore the integration of new techniques coming from other areas of expertise. They cover a variety of topics such as low-level hybridization, high-level hybridization, portfolio techniques, cooperative search, and theoretical aspects of hybridization.

Hybrid Metaheuristics

Автор: Christian Blum; G?nther R. Raidl
Название: Hybrid Metaheuristics
ISBN: 3319308823 ISBN-13(EAN): 9783319308821
Издательство: Springer
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Цена: 10760.00 р.
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Metaheuristics for Data Clustering and Image Segmentation

Автор: Meera Ramadas; Ajith Abraham
Название: Metaheuristics for Data Clustering and Image Segmentation
ISBN: 3030040968 ISBN-13(EAN): 9783030040963
Издательство: Springer
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Цена: 13974.00 р.
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Описание: In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.

Metaheuristics for Bi-level Optimization

Автор: El-Ghazali Talbi
Название: Metaheuristics for Bi-level Optimization
ISBN: 3642442250 ISBN-13(EAN): 9783642442254
Издательство: Springer
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Цена: 20896.00 р.
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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.

Metaheuristics for Scheduling in Distributed Computing Environments

Автор: Fatos Xhafa; Ajith Abraham
Название: Metaheuristics for Scheduling in Distributed Computing Environments
ISBN: 3642088759 ISBN-13(EAN): 9783642088759
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This volume presents meta-heuristics approaches for Grid scheduling problems. It brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects.

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
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Цена: 13974.00 р.
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Описание: This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems.

Metaheuristics:

Автор: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.


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