Tag Archives: Algorithm

“Advances in Evolutionary Algorithms” ed. by Witold Kosinski

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"Advances in Evolutionary Algorithms" ed. by Witold Kosinski
InTeOpP | 2008 | ISBN: 9537619117 9789537619114 | 4786 pages | PDF | 47 MB
Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge Evolutionary Algorithms field.

“Advances in Evolutionary Algorithms” ed. by Witold Kosinski
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice.

Contents
Preface
Part I: Foundations and New Methods
1 Limit Properties of Evolutionary Algorithms
2 Evolutionary Systems Identification: New Algorithmic Concepts and Applications
3 FPBIL: A Parameter-free Evolutionary Algorithm
Part II: Hybrid and Harmony Search
5 An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)
6 A Simple Hybrid Particle Swarm Optimization
7 Pxecent Advances in Harmony Search
A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings
9 Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization
Part III: Dynamic Environment and Multi-Objective Optimization
10 Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments
11 Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments
12 Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems
13 Evolutionary Multi-Objective PxObust Optimization
14 Improving InterpretabiIity of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms
15 Multi-objective Uniform-divers ity Genetic Algorithm (MUG A)
16 EA-based Problem Solving Environment over the GRID
Part IV: Applications
17 Evolutionary Methods for Learning Bayesian Network Structures
18 Design of Phased Antenna Arrays using Evolutionary Optimization Techniques
19 Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem
20 Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design
21 Evolutionary Computation Applied to Urban Traffic Optimization
22 Evolutionary Algorithms in Decision Tree Induction
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“Trends in Neural Computation” ed. by Ke Chen, Lipo Wang

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"Trends in Neural Computation" ed. by Ke Chen, Lipo Wang
Studies in Computational Intelligence, Volume 35
S?ring?r | 2007 | ISBN: 3540361219 9783540361213 | 510 pages | PDF | 16 MB
This book reflects the progresses made in different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks architectures and learning algorithms and their applications in real-world problems.

“Trends in Neural Computation” ed. by Ke Chen, Lipo Wang
Tte book includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation.

Contents
Preface
1 Hyperbolic Function Networks for Pattern Classification
2 Variable Selection for the Linear Support Vector Machine
3 Selecting Data for Fast Support Vector Machines Training
4 Universal Approach to Study Delayed Dynamical Systems
5 A Hippocampus-Neocortex Model for Chaotic Association
6 Latent Attractors: A General Paradigm for Context-Dependent Neural Computation
7 Learning Mechanisms in Networks of Spiking Neurons
8 GTSOM: Game Theoretic Self-organizing Maps
9 How to Generate Different Neural Networks
10 A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression
11 An Evolved Recurrent Neural Network and Its Application
12 A Min-Max Modular Network with Gaussian-Zero-Crossing Function
13 Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering
14 Modular Neural Networks and Their Applications in Biometrics
15 Performance Analysis of Dynamic Cell Structures
16 Short Term Electric Load Forecasting: A Tutorial
17 Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach
18 A Robust Blind Neural Equalizer Based on Higher-Order Cumulants
19 The Artificial Neural Network Applied to Servo Control System
20 Robot Localization Using Vision
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Fundamentals of Digital Image Processing by Anil K. Jain

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Fundamentals of Digital Image Processing by Anil K. Jain
English | Oct 3, 1988 | ISBN: 0133361659 | 590 Pages | PDF/DJVU | 44/7 MB
Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing.

Fundamentals of Digital Image Processing by Anil K. Jain
Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.
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Proceedings of the Sixth Workshop on Algorithm Engineering and Experiements

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Proceedings of the Sixth Workshop on Algorithm Engineering and Experiements by Lars Arge
English | 2004 | 240 Pages | ISBN: 0898715644 | DJVU | 4 MB

Proceedings of the Sixth Workshop on Algorithm Engineering and Experiements
The aim of the annual ALENEX workshop is to provide a forum for the presentation of original research in the implementation and experimental evaluation of algorithms and data structures. This research presents significant studies in experimental analysis or in the implementation, testing, and evaluation of algorithms for realistic environments and scenarios.

The paper presentations address specific applied areas that present unique challenges in their underlying algorithmic problems as well as methodological issues and standards in the context of empirical research on algorithms and data structures. The ANALCO workshop presents a collection of original research in the analysis of algorithms and associated combinatorial structures. The papers study properties of fundamental combinatorial structures that arise in practical computational applications (such as permutations, trees, strings, tries, and graphs) and address the precise analysis of algorithms for processing such structures, including average-case analysis; analysis of moments, extrema, and distributions; and probabilistic analysis of randomized algorithms. This proceedings collects extended versions of the 14 papers that were selected for presentation from the ALENEX workshop and 10 papers selected for presentation from the ANALCO workshop.
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Fast Algorithms for Signal Processing

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Richard E. Blahut, "Fast Algorithms for Signal Processing"
2010 | ISBN: 0521190495, 0511776373 | 466 pages | PDF | 3 MB

Fast Algorithms for Signal Processing
Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.
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Handbook of Real-Time Fast Fourier Transforms: Algorithms to Product Testing

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Handbook of Real-Time Fast Fourier Transforms: Algorithms to Product Testing
by Winthrop W. Smith, Joanne M. Smith
English | 1995 | ISBN: 0780310918 | 468 pages | PDF | 51.89 MB

Handbook of Real-Time Fast Fourier Transforms: Algorithms to Product Testing
""This useful, logical, unbiased, FFT compendium allows the user to quickly and accurately obtain practical information to implement a solution or simply acquire a general overview without spending months gathering this information elsewhere."
-Jay Perry, Executive Vice President, Technology, Catalina Research, Inc.

"This is a practical guide for understanding and using FFTs. Win's (Winthrop Smith, author) years of experience using FFTs to solve real-world problems comes through on page after page. If you're building an FFT processor, you'll find this book indispensable."
-Tony Agnello, President, Ariel Corp.

FFTs are at the heart of ADSL, the new telecom standard (T1.413), which allows phones to transfer digital data 200 times faster and simultaneously transmit speech. Fast Fourier Transforms (FFTs) synthesize, recognize, enhance, compress, modify, or analyze signals in products such as Doppler weather radar, CT and MRI scans, AWACS radar, and satellite imaging radar. In this book, you will get the foundation and facts you need to implement FFT algorithms for many diverse applications. Key features you will put to immediate use include:
– Comparison matrices and performance measures for objective selection of weighting functions, algorithm building blocks, algorithms, algorithm mappings, arithmetic formats, and DSP chips
– Extensive algorithm examples with instructions for memory mapping and conversion to code
– An unbiased listing of the FFT features of 51 fixed-point DSP chips, including ASIC and multiprocessor chips, 13 floating-point DSP chips, and six dedicated FFT chips
– Test signals with instructions and examples on how to detect and isolate errors during: FFT algorithm/code development and debugging, and end-product operation
– Design examples for products that use frequency analysis, power spectrum estimation, linear filtering, and two-dimensional processing
– Questions and answers for selecting commercial-off-the-shelf DSP boards

An all-in-one-source for implementing real-time FFT algorithms of any length, this book will be essential to engineers and other technical innovators who want to stay on the cutting edge of FFT technology."
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