Advanced Metaheuristic Methods in Big Data Retrieval and Analytics, Bouarara Hadj Ahmed, Hamou Reda Mohamed, Rahmani Amine
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 Рейтинг: Цена: 34373.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Описание: 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. The book features a wide range of topics, including algorithms, design variables, and retrofit design.
Автор: G?nther Z?pfel; Roland Braune; Michael B?gl Название: Metaheuristic Search Concepts ISBN: 3642425119 ISBN-13(EAN): 9783642425110 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an introduction to metaheuristics for students and practitioners. The basic concepts are developed step-by-step from the bottom up using the knapsack problem, allowing readers to concentrate on the main ideas of metaheuristics.
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.
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.
Описание: Students and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.
Автор: G?nther Z?pfel; Roland Braune; Michael B?gl Название: Metaheuristic Search Concepts ISBN: 3642113427 ISBN-13(EAN): 9783642113420 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In many decision problems, e.g. For most such problems no ef?cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time.
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: Ray Jhuma, Mukherjee Anirban, Dey Sadhan Kumar Название: Metaheuristic Approaches to Portfolio Optimization ISBN: 1522592946 ISBN-13(EAN): 9781522592945 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 19437.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. The book explores measures used for the evaluation of risks/returns of portfolios in real-life situations, and features research on topics such as closed-end funds, asset allocation, and the risk-return paradigm.
Автор: Enrique Alba; Rafael Mart? Название: Metaheuristic Procedures for Training Neural Networks ISBN: 1441941282 ISBN-13(EAN): 9781441941282 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own.
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