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A Metaheuristic Approach to Protein Structure Prediction, Nanda Dulal Jana; Swagatam Das; Jaya Sil


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Цена: 111790.00T
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Автор: Nanda Dulal Jana; Swagatam Das; Jaya Sil
Название:  A Metaheuristic Approach to Protein Structure Prediction
ISBN: 9783030090753
Издательство: Springer
Классификация:




ISBN-10: 3030090752
Обложка/Формат: Soft cover
Страницы: 220
Вес: 0.39 кг.
Дата издания: 2018
Серия: Emergence, Complexity and Computation
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, color; 54 illustrations, color; 5 illustrations, black and white; xxix, 220 p. 59 illus., 54 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Подзаголовок: Algorithms and Insights from Fitness Landscape Analysis
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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.
Дополнительное 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 Metaheur


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
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 60550.00 T
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.

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: 257790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 139750.00 T
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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.

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
Рейтинг:
Цена: 60550.00 T
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.

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: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
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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.

Handbook of Metaheuristics

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
Рейтинг:
Цена: 222670.00 T
Наличие на складе: Нет в наличии.
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 for Bi-level Optimization

Автор: El-Ghazali Talbi
Название: Metaheuristics for Bi-level Optimization
ISBN: 3642378374 ISBN-13(EAN): 9783642378379
Издательство: Springer
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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.

Metaheuristics Algorithms in Power Systems

Автор: Erik Cuevas; Emilio Barocio Espejo; Arturo Conde E
Название: Metaheuristics Algorithms in Power Systems
ISBN: 3030115925 ISBN-13(EAN): 9783030115920
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Автор: Xin-She Yang
Название: Artificial Intelligence, Evolutionary Computing and Metaheuristics
ISBN: 3642437036 ISBN-13(EAN): 9783642437038
Издательство: Springer
Рейтинг:
Цена: 241310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Joining in the centenary celebration of the life and work of Alan Turing, this book reviews the latest developments in artificial intelligence, evolutionary computation and metaheuristics, all of which can be traced back to Turing`s pioneer work.

An Introduction to Metaheuristics for Optimization

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.


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