Optimization of Process Flowsheets through Metaheuristic Techniques, Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r
Автор: Cuevas, Erik , Rodriguez, Alma Название: Metaheuristic Computation with MATLAB® ISBN: 0367438860 ISBN-13(EAN): 9780367438869 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: El-Ghazali Talbi Название: Metaheuristics for Bi-level Optimization ISBN: 3642378374 ISBN-13(EAN): 9783642378379 Издательство: Springer Рейтинг: Цена: 23508.00 р. 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.
Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques.
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 Рейтинг: Цена: 16769.00 р. 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.
Автор: Swagatam Das; Ajith Abraham; Amit Konar Название: Metaheuristic Clustering ISBN: 3642100716 ISBN-13(EAN): 9783642100710 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Nanda Dulal Jana; Swagatam Das; Jaya Sil Название: A Metaheuristic Approach to Protein Structure Prediction ISBN: 3030090752 ISBN-13(EAN): 9783030090753 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jana Название: A Metaheuristic Approach to Protein Structure Prediction ISBN: 3319747746 ISBN-13(EAN): 9783319747743 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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.
Автор: Chopard Bastien, Tomassini Marco Название: An Introduction to Metaheuristics for Optimization ISBN: 3319930729 ISBN-13(EAN): 9783319930725 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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.
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.
Автор: Johann Dr?o; A. Chatterjee; Alain P?trowski; Patri Название: Metaheuristics for Hard Optimization ISBN: 364206194X ISBN-13(EAN): 9783642061943 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains case studies from engineering and operations researchIncludes commented literature for each chapter
Автор: Patrick Siarry; Zbigniew Michalewicz Название: Advances in Metaheuristics for Hard Optimization ISBN: 3642092063 ISBN-13(EAN): 9783642092060 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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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