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Recent Advances in Harmony Search Algorithm, Zong Woo Geem


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Цена: 20962.00р.
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Автор: Zong Woo Geem
Название:  Recent Advances in Harmony Search Algorithm
ISBN: 9783642043161
Издательство: Springer
Классификация:


ISBN-10: 364204316X
Обложка/Формат: Hardback
Страницы: 184
Вес: 0.44 кг.
Дата издания: 2010
Серия: Studies in Computational Intelligence
Язык: English
Иллюстрации: 30 black & white tables, biography
Размер: 234 x 155 x 18
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces major advances of the harmony search algorithm in recent years. Topics cover theory and application and include robotics, visual tracking, web text data mining, power flow planning, fuzzy control system, irrigation, logistics and more.


Recent Advances in Harmony Search Algorithm

Автор: Zong Woo Geem
Название: Recent Advances in Harmony Search Algorithm
ISBN: 3642263178 ISBN-13(EAN): 9783642263170
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
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Описание: This book introduces major advances of the harmony search algorithm in recent years. Topics cover theory and application and include robotics, visual tracking, web text data mining, power flow planning, fuzzy control system, irrigation, logistics and more.

Nature-Inspired Algorithms for Optimisation

Автор: Raymond Chiong
Название: Nature-Inspired Algorithms for Optimisation
ISBN: 3642101305 ISBN-13(EAN): 9783642101304
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Nature-inspired algorithms have become popular because many real-world optimization problems have become increasingly large, complex and dynamic. This book covers the latest algorithms and important studies for tackling various kinds of optimization problems.

Music-Inspired Harmony Search Algorithm

Автор: Zong Woo Geem
Название: Music-Inspired Harmony Search Algorithm
ISBN: 3642101240 ISBN-13(EAN): 9783642101243
Издательство: Springer
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Цена: 20962.00 р.
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Описание: There exists an analogy between music and optimization. This book focuses on a music-inspired metaheuristic algorithm, harmony search. It details both theoretical backgrounds and practical applications of harmony search algorithms.

Emerging Research On Swarm Intelligence And Algorithm Optimization

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

Автор: Gaxiola
Название: New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
ISBN: 3319340867 ISBN-13(EAN): 9783319340869
Издательство: Springer
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Цена: 8489.00 р.
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Описание:

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.
The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.
The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ?=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.
The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
Harmony Search Algorithms for Structural Design Optimization

Автор: Zong Woo Geem
Название: Harmony Search Algorithms for Structural Design Optimization
ISBN: 3642034497 ISBN-13(EAN): 9783642034497
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Researchers have lately applied the metaheuristic algorithm Harmony search to handle discrete design variables for various structures such as buildings and bridges. This book gathers all the latest developments of Harmony search algorithm in structural design.

Advances and Applications of Optimised Algorithms in Image Processing

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

Grammatical Inference: Algorithms and Applications

Автор: Alexander Clark; Fran?ois Coste; Laurent Miclet
Название: Grammatical Inference: Algorithms and Applications
ISBN: 3540880089 ISBN-13(EAN): 9783540880080
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. This title also includes papers on topics ranging from theoretical results of learning algorithms to innovative applications of grammatical inference.

Tools and Algorithms for the Construction and Analysis of Systems

Автор: Javier Esparza; Rupak Majumdar
Название: Tools and Algorithms for the Construction and Analysis of Systems
ISBN: 3642120016 ISBN-13(EAN): 9783642120015
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the refereed proceedings of the 16th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2010, held in Paphos, Cyprus, in March 2010, as part of ETAPS 2010, the European Joint Conferences on Theory and Practice of Software.

Intelligent Algorithms in Ambient and Biomedical Computing

Автор: Wim Verhaegh; Emile Aarts; Jan Korst
Название: Intelligent Algorithms in Ambient and Biomedical Computing
ISBN: 9400787286 ISBN-13(EAN): 9789400787285
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The rapid growth in electronic systems in the past decade has boosted - search in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data, the role of intelligent algorithms has become prominent in order to visualize, manipulate, retrieve, and interpret the data. For instance, intelligent search techniques have been developed to search for relevant items in huge coll- tions of web pages, and data mining and interpretation techniques play a very important role in making sense out of huge amounts of biomolecular measu- ments. As a result, the added value of many modern systems is no longer determined by hardware only, but increasingly by the intelligent software that supports and facilitates the user in realizing his or her objectives. Overthepastyears, considerableprogresshasbeenmadeintheareaofc- putational intelligence, which can be positioned at the intersection of computer science, discrete mathematics, and cognitive science. This has led to a gr- ing community of practitioners within Philips Research that develop, analyze, and apply intelligent algorithms. The Symposium on Intelligent Algorithms (SOIA) intends to provide this community of practitioners with a platform to exchange information. The ?rst edition of SOIA, held in 2002, addressed the topic of intelligent algorithms in ambient intelligence.

Handbook of Memetic Algorithms

Автор: Ferrante Neri; Carlos Cotta; Pablo Moscato
Название: Handbook of Memetic Algorithms
ISBN: 3642269427 ISBN-13(EAN): 9783642269424
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples.

Multi-Objective Memetic Algorithms

Автор: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan
Название: Multi-Objective Memetic Algorithms
ISBN: 3642099785 ISBN-13(EAN): 9783642099786
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable reference.


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