Parameter Setting in Evolutionary Algorithms, F.J. Lobo; Cl?udio F. Lima; Zbigniew Michalewicz

Автор: F.J. Lobo; Cl?udio F. Lima; Zbigniew Michalewicz
Название: Parameter Setting in Evolutionary Algorithms
ISBN: 3540694315 ISBN-13(EAN): 9783540694311
Издательство: Springer
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Цена: 204040.00 T
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Описание: Covers a broad area of evolutionary computation, including genetic algorithms, genetic programming, and estimation of distribution algorithms. This book discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications.

Автор: Niedermeier, Rolf
Название: Invitation to fixed-parameter algorithms
ISBN: 0198566077 ISBN-13(EAN): 9780198566076
Издательство: Oxford Academ
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Цена: 145200.00 T
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Описание: An application-oriented introduction to the highly topical area of the development and analysis of efficient fixed-parameter algorithms for hard problems. Aimed at graduate and research mathematicians, algorithm designers, and computer scientists, it provides a fresh view on this highly innovative field of algorithmic research.

Автор: Han-Xiong Li; Chenkun Qi
Название: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
ISBN: 9401782547 ISBN-13(EAN): 9789401782548
Издательство: Springer
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Цена: 107130.00 T
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Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.

Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe
Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis
ISBN: 3642040047 ISBN-13(EAN): 9783642040047
Издательство: Springer
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Цена: 139750.00 T
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Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.

Автор: Mickens Ronald E
Название: Truly Nonlinear Oscillations: Harmonic Balance, Parameter Expansions, Iteration, And Averaging Methods
ISBN: 981429165X ISBN-13(EAN): 9789814291651
Издательство: World Scientific Publishing
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Цена: 100320.00 T
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Описание: Provides a presentation of many of the fundamental strategies for calculating approximations to the oscillatory solutions of truly nonlinear (TNL) oscillator equations. This volume gives a general overview of the author`s work on harmonic balance, iteration and combined linearization-averaging methods.

Автор: Street Brian
Название: Multi-Parameter Singular Integrals. (Am-189)
ISBN: 0691162522 ISBN-13(EAN): 9780691162522
Издательство: Wiley
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Цена: 79200.00 T
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Описание: This book develops a new theory of multi-parameter singular integrals associated with Carnot-Caratheodory balls. Brian Street first details the classical theory of Calderon-Zygmund singular integrals and applications to linear partial differential equations. He then outlines the theory of multi-parameter Carnot-Caratheodory geometry, where the main

Автор: Avril
Название: Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
ISBN: 3319450700 ISBN-13(EAN): 9783319450704
Издательство: Springer
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Цена: 111790.00 T
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Описание: people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.