Interfacial Forces in Aqueous Media, Second Edition

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Thoroughly revised and reorganized, the second edition of Interfacial Forces in Aqueous Media examines the role of polar interfacial and noncovalent interactions among biological and nonbiological macromolecules as well as biopolymers, particles, surfaces, cells, and both polar and apolar polymers. The new edition includes four previously unpublished chapters on interfacial properties and structure of liquid water; new material throughout the text on the interplay between macroscopic-scale repulsions and microscopic-scale attractions in protein adsorption; and new chapters covering interfacial tension determination and examining the kinetics and energetics of protein adsorption onto metal oxide surfaces.

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Interfacial Forces in Aqueous Media
Carel J. Van Oss
Manufacturer: NY
ProductGroup: Book
Binding: Paperback
ASIN: B000N6CZA4

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Interfacial Forces in Aqueous Media
Carel Jan van Oss
Manufacturer: NY
ProductGroup: Book
Binding: Hardcover
ASIN: B000MUF8LY

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The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals.

This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible.

This authoritative book, with contributions from experts from around the globe, demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved.

Eduardo Reck Miranda is a Professor in Computer Music at the University of Plymouth, UK, where he heads the Interdisciplinary Centre for Computer Music Research (ICCMR). He has recently been appointed the Edgard Varèse Guest Professor of Computer Music at the Technical University of Berlin.

Al Biles is a Professor and the Undergraduate Program Coordinator in the Department of Information Technology at the Rochester Institute of Technology in Rochester, New York. Between performances with GenJam over the last thirteen years, he has been active in helping establish information technology as a recognized academic discipline.

Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

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scholarly and from a general viewpoint
One of the best books on EAs
One of the best introductions to evolutionary algorithms

Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
Thomas Back
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Hardcover

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ASIN: 0195099710

Book Description

This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields.

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scholarly and from a general viewpoint.......2005-07-19

In comparing this book with, say Goldberg's "Genetic Algorithms..." (may be the most popular genetic algorithms text), this book reads more like a German habilitation thesis (which I imagine it may have served as such), where as Goldberg's book seems more of a light introduction for the mathematically uninitiated. Indeed, Back's book seems quite scholarly with lots of useful references, and gives a good introduction to not only genetic algorithms, but also to evolutionary strategies (a paradigm that is most applicable to Euclidean-type search spaces) and evolutionary programming
(simular to ES and not to be confused with genetic programming).

I found Chapters 1 and 2 quite good, in that Chapter 1 presented the biological motivations for evolutionary computing along with a brief introduction to the theory of computation and computational complexity, while Chapter 2 gave a very good introduction to the above-mentioned evolutionary computing paradigms. The remainder of the book reads more like a report on the author's experiments in evolutionary computing.

It is important to note that Goldberg's book does not cover Evolutionary Strategies, which I have found to be a more fruitful approach since it is specifically designed for Euclidean space where many if not most interesting optimization problems are formulated in.

Finally, I offer bit of advice for those who plan to read through this book. Some of the definitions are stated with such generality that they seem very opaque upon first reading. It is very important to understand them, so do not give up! Once the defintions are understood, the algorithms will seem much easier to comprehend. In fact, the algorithms have a very simple outline:
i) initialize population
ii) while the terminating condition is not yet met: recombine to form new population members, mutate the population members, select the most fit population members to form the next generation.
The partial analyses provided for the algorithms can be skipped on first reading.

One of the best books on EAs.......2003-10-23

Although this book is much less popular than Goldberg's and Mitchell's, it is the most complete reference on evolutionary algorithms in my opinion. If you're looking only for an introduction to EAs, this may not be the perfect book for you (the 2 other ones are more concise) but if you're seeking a detailed review of foundations of EAs, this book is excellent. It provides mathematical insight, and examples of how to implement such algorithms.

One of the best introductions to evolutionary algorithms.......2001-08-01

I don't really know why this book didn't sell as well as some of the other standard books in evolutionary algorithms. It's much better in many respects and presents a balanced view of the entire field, including evolution strategies, evolutionary programming, and genetic algorithms. Anyone who is interested in evolutionary algorithms should have this book....

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation)

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Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation)
Nikolay Nikolaev , and Hitoshi Iba
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0387312390

Book Description

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The empirical investigations detailed here demonstrate that PNN models evolved by genetic programming and improved by backpropagation are successful when solving real-world tasks.

Adaptive Learning of Polynomial Networks is a vital reference for researchers and practitioners in the fields of evolutionary computation, artificial neural networks and Bayesian inference, and for advanced-level students of genetic programming. Readers will strengthen their skills in creating efficient model representations and learning operators that efficiently sample the search space, and in navigating the search process through the design of objective fitness functions.

Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (Lecture Notes in Computer Science)

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Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (Lecture Notes in Computer Science)

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ASIN: 354034439X

Book Description

The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.

The 616 revised papers presented were carefully reviewed and selected from about 2.500 submissions. The papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, ICA and BSS, data preprocessing, pattern classification, computer vision, image processing, signal processing, system modeling, control systems, robotic systems, power systems, transportation systems, communication networks, information security, fault detection, financial analysis, neuroinformatics, bioinformatics, biomedical applications, industrial applications, other applications, and hardware implementation.

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Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II (Lecture Notes in Computer Science)

Manufacturer: Springer
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ASIN: 3540344373

Book Description

The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.

Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation (SPIE Conference Proceedings)

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Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation (SPIE Conference Proceedings)

Manufacturer: SPIE-International Society for Optical Engine
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Binding: Hardcover

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ASIN: 0819437654

Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II: 19-20 July, 1999, Denver, Colorado (Proceedings of Spie--the ... Society for Optical Engineering, V. 3812.)

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Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II: 19-20 July, 1999, Denver, Colorado (Proceedings of Spie--the ... Society for Optical Engineering, V. 3812.)

Manufacturer: SPIE-International Society for Optical Engine
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Binding: Paperback

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ASIN: 0819432989

Applications of Evolutionary Computing: EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, Proceedings (Lecture Notes in Computer Science)

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Applications of Evolutionary Computing: EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, Proceedings (Lecture Notes in Computer Science)

Manufacturer: Springer
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Binding: Paperback

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ASIN: 3540009760

Book Description

This book constitutes the joint refereed proceedings of six workshops, EvoWorkshops 2003, held together with EuroGP 2003 in Essex, UK in April 2003.

The 63 revised full papers presented were carefully reviewed and selected from a total of 109 submissions. In accordance with the six workshops covered , the papers are organized in topical sections on bioinformatics, combinatorial optimization, image analysis and signal processing, evolutionary music and art, evolutionary robotics, and scheduling and timetabling.

Automatic Generation of Neural Network Architecture Using Evolutionary Computation (Advances in Fuzzy Systems - Applications and Theory , Vol 14)

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Automatic Generation of Neural Network Architecture Using Evolutionary Computation (Advances in Fuzzy Systems - Applications and Theory , Vol 14)
E. Vonk , L. C. Jain , and R. P. Johnson
Manufacturer: World Scientific Pub Co Inc
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Binding: Hardcover

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ASIN: 9810231067

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This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.

Book Description

This book constitutes the refereed proceedings of the International Conference on Computational Intelligence, 7th Dortmund Fuzzy Days, held in Dortmund, Germany, in October 2001. The 71 revised full papers presented were carefully reviewed and selected from an overwhelming number of submissions. Also included are four invited contributions and 24 poster presentations. The papers are devoted to foundational and practical issues in fuzzy systems, soft computing, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

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