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Applications of Hybrid Metaheuristic Algorithms for Image Processing, Oliva Diego, Hinojosa Salvador


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Автор: Oliva Diego, Hinojosa Salvador
Название:  Applications of Hybrid Metaheuristic Algorithms for Image Processing
ISBN: 9783030409760
Издательство: Springer
Классификация:



ISBN-10: 3030409767
Обложка/Формат: Hardcover
Страницы: 490
Вес: 0.87 кг.
Дата издания: 28.03.2020
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 221 illustrations, color; 90 illustrations, black and white; ix, 490 p. 311 illus., 221 illus. in color.
Размер: 23.39 x 15.60 x 2.69 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a collection of the most recent hybrid methods for image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence.


Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Автор: Oliva Diego, Abd Elaziz Mohamed, Hinojosa Salvador
Название: Metaheuristic Algorithms for Image Segmentation: Theory and Applications
ISBN: 3030129330 ISBN-13(EAN): 9783030129330
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images.

Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Автор: Diego Oliva; Mohamed Abd Elaziz; Salvador Hinojosa
Название: Metaheuristic Algorithms for Image Segmentation: Theory and Applications
ISBN: 3030129306 ISBN-13(EAN): 9783030129309
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases.
This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.
Metaheuristic Applications to Speech Enhancement

Автор: Prajna Kunche; K.V.V.S. Reddy
Название: Metaheuristic Applications to Speech Enhancement
ISBN: 3319316818 ISBN-13(EAN): 9783319316819
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Readers willbe able to understand the fundamentals of speech processing as well as theoptimization techniques, how the speech enhancement algorithms are implementedby utilizing optimization methods, and will be given the tools to develop newalgorithms.

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Автор: Dash Sujata, Tripathy B. K., Rahman Atta Ur
Название: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
ISBN: 1522528571 ISBN-13(EAN): 9781522528579
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Metaheuristic Clustering

Автор: Swagatam Das; Ajith Abraham; Amit Konar
Название: Metaheuristic Clustering
ISBN: 3642100716 ISBN-13(EAN): 9783642100710
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Cluster analysis means the organization of an unlabeled collection of objects into separate groups based on their similarity. With the use of several real world examples, this book formulates clustering as an optimization problem.

A Metaheuristic Approach to Protein Structure Prediction

Автор: Nanda Dulal Jana; Swagatam Das; Jaya Sil
Название: A Metaheuristic Approach to Protein Structure Prediction
ISBN: 3030090752 ISBN-13(EAN): 9783030090753
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.

A Metaheuristic Approach to Protein Structure Prediction

Автор: Jana
Название: A Metaheuristic Approach to Protein Structure Prediction
ISBN: 3319747746 ISBN-13(EAN): 9783319747743
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Metaheuristic Protein Structure Prediction-An Overview.- Related Works.- Continuous Landscape Analysis using Random Walk Algorithm.- Landscape Characterization and Algorithms Selection for the PSP Problem.- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction.- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms.- Hybrid Metaheuristic Approach for Protein Structure Prediction.- Conclusions and Future Research.

Optimization of Process Flowsheets through Metaheuristic Techniques

Автор: Ponce-Ortega
Название: Optimization of Process Flowsheets through Metaheuristic Techniques
ISBN: 3319917218 ISBN-13(EAN): 9783319917214
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques.

Metaheuristic Computation with MATLAB®

Автор: Cuevas, Erik , Rodriguez, Alma
Название: Metaheuristic Computation with MATLAB®
ISBN: 0367438860 ISBN-13(EAN): 9780367438869
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание: The main purpose of this book is to provide a unified view of the most popular metaheuristic methods. Under this perspective, it has presented the fundamental design principles as well as the operators of metaheuristic approaches which are considered essential.

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.

Metaheuristic Optimization Algorithms in Civil Engineering

Автор: by Ali Kaveh; Armin Dadras Eslamlou
Название: Metaheuristic Optimization Algorithms in Civil Engineering
ISBN: 303045472X ISBN-13(EAN): 9783030454722
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Introduction.- Optimum stacking sequence design of composite laminates for maximum buckling load capacity.- Optimum Design of Castellated Beams with Composite Action and Semi-Rigid Connection.- Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm.- Geometry and sizing optimization of steel pitched roof frames.- Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms.- The charged system search algorithm for adaptive node moving refinement in discrete least-squares meshless method.- Performance-based multi-objective optimization of large steel structures.- Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms.- Colliding Bodies Optimization Algorithm for Structural Optimization of Offshore Wind Turbines with Frequency Constraints.- Colliding Bodies Optimization for Analysis and Design of Water Distribution Systems.- Optimization of tower crane location and material quantity between supply and demand points.- Optimization of Building Components with SustainabilityAspects in BIM Environment.- Multi-objective optimization of construction site layout.- Multi-objective electrical energy scheduling in smart homes using ant lion optimizer and evidential reasoning

Optimization of Process Flowsheets through Metaheuristic Techniques

Автор: Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r
Название: Optimization of Process Flowsheets through Metaheuristic Techniques
ISBN: 3030062848 ISBN-13(EAN): 9783030062842
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process. Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.


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