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Recent Metaheuristic Computation Schemes in Engineering, Cuevas Erik, Rodrнguez Alma, Alejo-Reyes Avelina


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Автор: Cuevas Erik, Rodrнguez Alma, Alejo-Reyes Avelina
Название:  Recent Metaheuristic Computation Schemes in Engineering
ISBN: 9783030660062
Издательство: Springer
Классификация:


ISBN-10: 3030660060
Обложка/Формат: Hardcover
Страницы: 277
Вес: 0.58 кг.
Дата издания: 14.03.2021
Язык: English
Размер: 23.39 x 15.60 x 1.75 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem.

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: 122490.00 T
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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.

Advanced metaheuristic methods in big data retrieval and analytics /

Автор: Hadj Ahmed Bouarara , Reda Mohamed Hamou , Amine Rahmani (Editors)
Название: Advanced metaheuristic methods in big data retrieval and analytics /
ISBN: 1522573380 ISBN-13(EAN): 9781522573388
Издательство: Turpin
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Цена: 229150.00 T
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Описание: The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data.Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.

Metaheuristic Computation: A Performance Perspective

Автор: Cuevas Erik, Diaz Primitivo, Camarena Octavio
Название: Metaheuristic Computation: A Performance Perspective
ISBN: 3030580997 ISBN-13(EAN): 9783030580995
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments.

Metaheuristic and Evolutionary Computation: Algorithms and Applications

Автор: Malik Hasmat, Iqbal Atif, Joshi Puneet
Название: Metaheuristic and Evolutionary Computation: Algorithms and Applications
ISBN: 9811575703 ISBN-13(EAN): 9789811575709
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Introduction: Optimization and Metaheuristics Algorithms.- Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms.- Chapter 3. Tackling Power Quality Issues using Metaheuristics.- Chapter 4. Meta-Heuristic application in Suppression of Noise.- Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering.- Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review.- Chapter 7. Application of Metaheuristics in Power Electronics.- Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications.- Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework.- Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020).

Applications of Metaheuristic Optimization Algorithms in Civil Engineering

Автор: Kaveh A.
Название: Applications of Metaheuristic Optimization Algorithms in Civil Engineering
ISBN: 3319838792 ISBN-13(EAN): 9783319838793
Издательство: Springer
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Цена: 139750.00 T
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Описание: The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.

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
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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.

Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation

Автор: Shehab Mohammad
Название: Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation
ISBN: 3030360857 ISBN-13(EAN): 9783030360856
Издательство: Springer
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations;

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

Автор: Bouarara Hadj Ahmed, Hamou Reda Mohamed, Rahmani Amine
Название: Advanced Metaheuristic Methods in Big Data Retrieval and Analytics
ISBN: 1522587187 ISBN-13(EAN): 9781522587187
Издательство: Mare Nostrum (Eurospan)
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Цена: 128840.00 T
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Описание: Examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. The book features coverage on a broad range of topics, including ontology, plagiarism detection, and machine learning.

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities

Автор: Aylin Ece Kayabekir, Gebrail Bekda?, Sinan Melih Nigdeli
Название: Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities
ISBN: 1799826651 ISBN-13(EAN): 9781799826651
Издательство: Mare Nostrum (Eurospan)
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Цена: 125670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material type, and amount of reinforcement) with the minimum cost providing the design constraints (design formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the analyses of formulation of reinforced concrete structures with an iterative numerical algorithm using several convergence options of random generation of candidate design solutions.

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members. Additionally, retrofit applications and seismic design issues are considered for readers in earthquake zones. Highlighting a wide range of topics including algorithms, design variables, and retrofit design, this book is ideally designed for architects, engineers, urban designers, government officials, policymakers, researchers, academicians, and students.

An Efficient Metaheuristic for Dynamic Network Design and Message Routing

Автор: Hartlage Robert B.
Название: An Efficient Metaheuristic for Dynamic Network Design and Message Routing
ISBN: 1288406037 ISBN-13(EAN): 9781288406036
Издательство: Неизвестно
Рейтинг:
Цена: 71050.00 T
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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: 60940.00 T
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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: 257790.00 T
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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.


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