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Optimization of Process Flowsheets through Metaheuristic Techniques, Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r


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Автор: Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r
Название:  Optimization of Process Flowsheets through Metaheuristic Techniques
ISBN: 9783030062842
Издательство: Springer
Классификация:



ISBN-10: 3030062848
Обложка/Формат: Soft cover
Страницы: 110
Вес: 0.21 кг.
Дата издания: 2019
Язык: English
Издание: Softcover reprint of
Иллюстрации: 5 tables, color; 53 illustrations, color; 39 illustrations, black and white; xvii, 110 p. 92 illus., 53 illus. in color.
Размер: 234 x 156 x 7
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Chapter 1- Introduction.- Chapter 2- Process simulators.- Chapter 3- Metaheuristic optimization programs.- Chapter 4- interlinking between process simulators and optimization programs.- Chapter 5- Performance evaluation.- Chapter 6- Optimization of indust



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.

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: 23508.00 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.

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
Рейтинг:
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 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 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.

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.

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.

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
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Цена: 6986.00 р.
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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.

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Автор: Peng-Yeng Yin
Название: Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches
ISBN: 1466621451 ISBN-13(EAN): 9781466621459
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

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

Advances in Metaheuristics for Hard Optimization

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.


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