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Fault Diagnosis Inverse Problems: Solution with Metaheuristics, Camps Echevarr?a


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Автор: Camps Echevarr?a
Название:  Fault Diagnosis Inverse Problems: Solution with Metaheuristics
ISBN: 9783319899770
Издательство: Springer
Классификация:




ISBN-10: 3319899775
Обложка/Формат: Hardcover
Страницы: 167
Вес: 0.45 кг.
Дата издания: 2019
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 52 illustrations, color; 16 illustrations, black and white; xviii, 167 p. 68 illus., 52 illus. in color.
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Основная тема: Mathematical Modeling and Industrial Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence.


Handbook of Metaheuristics

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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Цена: 33401.00 р.
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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:

Автор: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.

Inverse problems and high-dimensional estimation

Автор: Eric Gautier and Pierre Alquier
Название: Inverse problems and high-dimensional estimation
ISBN: 3642199887 ISBN-13(EAN): 9783642199882
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The product of a high-flying summer school in Paris in 2009, this volume synthesises the state of the art on ill-posed statistical inverse problems and high-dimensional estimation and explores the ways these techniques can be applied to economics.

Tuning Metaheuristics

Автор: Mauro Birattari
Название: Tuning Metaheuristics
ISBN: 3642101496 ISBN-13(EAN): 9783642101496
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Metaheuristics are a relatively new but already established approachto c- binatorial optimization. A metaheuristic is a generic algorithmic template that can be used for ?nding high quality solutions of hard combinatorial - timization problems. To arrive at a functioning algorithm, a metaheuristic needs to be con?gured: typically some modules need to be instantiated and someparametersneedto betuned.Icallthese twoproblems"structural"and "parametric" tuning, respectively. More generally, I refer to the combination of the two problems as "tuning." Tuning is crucial to metaheuristic optimization both in academic research andforpracticalapplications.Nevertheless, relativelylittle researchhasbeen devoted to the issue. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine learning perspective, it is possible to give a formal de?nitionofthetuningproblemandtodevelopagenericalgorithmfortuning metaheuristics.Moreover, fromthemachinelearningperspectiveitispossible tohighlightsome?awsinthecurrentresearchmethodologyandtostatesome guidelines for future empirical analysis in metaheuristics research. This book is based on my doctoral dissertation and contains results I have obtained starting from 2001 while working within the Metaheuristics Net- 1 work. During these years I have been a?liated with two research groups: INTELLEKTIK, Technische Universit t Darmstadt, Darmstadt, Germany and IRIDIA, Universit Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas St tzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.

Metaheuristics and Optimization in Civil Engineering

Автор: Xin-She Yang; Gebrail Bekda?; Sinan Melih Nigdeli
Название: Metaheuristics and Optimization in Civil Engineering
ISBN: 3319262432 ISBN-13(EAN): 9783319262437
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering.

Applications of Metaheuristics in Process Engineering

Автор: Jayaraman Valadi; Patrick Siarry
Название: Applications of Metaheuristics in Process Engineering
ISBN: 3319357042 ISBN-13(EAN): 9783319357041
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization.

Metaheuristics

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 1441944214 ISBN-13(EAN): 9781441944214
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book`s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.

Metaheuristics

Автор: Mauricio G.C. Resende; J. Pinho de Sousa
Название: Metaheuristics
ISBN: 1441954031 ISBN-13(EAN): 9781441954039
Издательство: Springer
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Цена: 37594.00 р.
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Описание: Combinatorial optimization is the process of finding the best, or optimal, so- lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo- cation, logic, and assignment of resources. The economic impact of combi- natorial optimization is profound, affecting sectors as diverse as transporta- tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu- nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so- lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op- timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu- tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

Essays and Surveys in Metaheuristics

Автор: Celso C. Ribeiro; Pierre Hansen
Название: Essays and Surveys in Metaheuristics
ISBN: 1461355885 ISBN-13(EAN): 9781461355885
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Tech- niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza- tion problems.

Introduction to inverse problems in imaging

Автор: Bertero, Mario Boccaci, Patrizia Boccacci, P.
Название: Introduction to inverse problems in imaging
ISBN: 0750304359 ISBN-13(EAN): 9780750304351
Издательство: Taylor&Francis
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Цена: 10564.00 р.
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Описание: A textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. It presents easily implementable and fast solution algorithms. It provides the reader with the background for an understanding of the essence of inverse problems (ill-posedness and its cure).

Large-Scale Inverse Problems and Quantification of Uncertainty

Автор: Biegler
Название: Large-Scale Inverse Problems and Quantification of Uncertainty
ISBN: 0470697431 ISBN-13(EAN): 9780470697436
Издательство: Wiley
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Цена: 17733.00 р.
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Описание: This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.

Inverse Problems in Differential Equations

Автор: G. Anger
Название: Inverse Problems in Differential Equations
ISBN: 0306431645 ISBN-13(EAN): 9780306431647
Издательство: Springer
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Цена: 20896.00 р.
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