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Metaheuristics for Data Clustering and Image Segmentation, Meera Ramadas; Ajith Abraham


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Цена: 13974.00р.
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Автор: Meera Ramadas; Ajith Abraham
Название:  Metaheuristics for Data Clustering and Image Segmentation
ISBN: 9783030040963
Издательство: Springer
Классификация:




ISBN-10: 3030040968
Обложка/Формат: Hardcover
Страницы: 163
Вес: 0.44 кг.
Дата издания: 2019
Серия: Intelligent Systems Reference Library
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 100 tables, color; 59 illustrations, color; 19 illustrations, black and white; ix, 163 p. 78 illus., 59 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Introduction.- METAHEURISTICS AND DATA CLUSTERING.- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM.- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.



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.

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.

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 for Image Analysis

Автор: Bhattacharyya
Название: Hybrid Metaheuristics for Image Analysis
ISBN: 331977624X ISBN-13(EAN): 9783319776248
Издательство: Springer
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Цена: 13974.00 р.
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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.

Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems

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
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Цена: 15672.00 р.
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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.

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
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Цена: 13275.00 р.
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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 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.

Theory and Principled Methods for the Design of Metaheuristics

Автор: Yossi Borenstein; Alberto Moraglio
Название: Theory and Principled Methods for the Design of Metaheuristics
ISBN: 3662519550 ISBN-13(EAN): 9783662519554
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book describes methods for incorporating problem knowledge in evolutionary algorithms and other metaheuristics, and shows how statistical methods can use experimental data to enhance the performance of existing metaheuristics in a systematic way.

Metaheuristics for Hard Optimization

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: 13969.00 р.
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Описание: Contains case studies from engineering and operations researchIncludes commented literature for each chapter

Current Approaches in Metaheuristics

Автор: Epps Amelia
Название: Current Approaches in Metaheuristics
ISBN: 1632381079 ISBN-13(EAN): 9781632381071
Издательство: Неизвестно
Цена: 14484.00 р.
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Fault Diagnosis Inverse Problems: Solution with Metaheuristics

Автор: L?dice Camps Echevarr?a; Orestes Llanes Santiago;
Название: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
ISBN: 3030079082 ISBN-13(EAN): 9783030079086
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.


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