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Adaptive and Natural Computing Algorithms

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Cover of 'Adaptive and Natural Computing Algorithms'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
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    Chapter 2 DNA Based Evolutionary Approach for Microprocessor Design Automation
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    Chapter 3 Multiple Sequence Alignment with Evolutionary-Progressive Method
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    Chapter 4 Optimal Design Centring Through a Hybrid Approach Based on Evolutionary Algorithms and Monte Carlo Simulation
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    Chapter 5 A New Self-adaptative Crossover Operator for Real-Coded Evolutionary Algorithms
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    Chapter 6 Wavelet Enhanced Analytical and Evolutionary Approaches to Time Series Forecasting
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    Chapter 7 Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization
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    Chapter 8 Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization
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    Chapter 9 Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
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    Chapter 10 Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization
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    Chapter 11 Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization
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    Chapter 12 Self-adaptive Evolutionary Methods in Designing Skeletal Structures
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    Chapter 13 An Evolutionary Approach to Task Graph Scheduling
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    Chapter 14 Universal Quantum Gates Via Yang-Baxterization of Dihedral Quantum Double
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    Chapter 15 Evolutionary Bi-objective Learning with Lowest Complexity in Neural Networks: Empirical Comparisons
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    Chapter 16 Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism
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    Chapter 17 On Semantic Properties of Interestingness Measures for Extracting Rules from Data
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    Chapter 18 A New Mutation Operator for the Elitism-Based Compact Genetic Algorithm
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    Chapter 19 Genetic Programming for Proactive Aggregation Protocols
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    Chapter 20 Automatic Synthesis for Quantum Circuits Using Genetic Algorithms
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    Chapter 21 Clonal Selection Approach with Mutations Based on Symmetric α -Stable Distributions for Non-stationary Optimization Tasks
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    Chapter 22 Minimizing Cycle Time of the Flow Line – Genetic Approach with Gene Expression
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    Chapter 23 Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
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    Chapter 24 On Sum Coloring of Graphs with Parallel Genetic Algorithms
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    Chapter 25 Liquid State Genetic Programming
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    Chapter 26 Genetic Based Distribution Service Restoration with Minimum Average Energy Not Supplied
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    Chapter 27 Multi-objective Feature Selection with NSGA II
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    Chapter 28 Design of 2-D IIR Filters Using Two Error Criteria with Genetic Algorithm
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    Chapter 29 A Hybrid Genetic Algorithm with Simulated Annealing for Nonlinear Blind Equalization Using RBF Networks
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    Chapter 30 Feature Extraction of Speech Signal by Genetic Algorithms-Simulated Annealing and Comparison with Linear Predictive Coding Based Methods
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    Chapter 31 Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
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    Chapter 32 FPGA Implementation of Evolvable Characters Recognizer with Self-adaptive Mutation Rates
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    Chapter 33 A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon
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    Chapter 34 Application of Micro-GA for an Optimal Direct Design Method of Steel Frame
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    Chapter 35 Multi-objective Optimal Public Investment: An Extended Model and Genetic Algorithm-Based Case Study
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    Chapter 36 Many-Objective Particle Swarm Optimization by Gradual Leader Selection
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    Chapter 37 Mixed Ant Colony Optimization for the Unit Commitment Problem
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    Chapter 38 A Shuffled Complex Evolution of Particle Swarm Optimization Algorithm
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    Chapter 39 Wasp Swarm Algorithm for Dynamic MAX-SAT Problems
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    Chapter 40 Particle Swarm Optimization for the Multidimensional Knapsack Problem
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    Chapter 41 Particle Swarms for Multimodal Optimization
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    Chapter 42 Quantum-Behaved Particle Swarm Optimization with Binary Encoding
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    Chapter 43 Artificial Environment for Simulation of Emergent Behaviour
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    Chapter 44 A Novel and More Efficient Search Strategy of Quantum-Behaved Particle Swarm Optimization
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    Chapter 45 Extracting Grammars from RNA Sequences
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    Chapter 46 Modeling Human Performance in Two Player Zero Sum Games Using Kelly Criterion
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    Chapter 47 No-Regret Boosting
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    Chapter 48 Evolutionary Approach to the Game of Checkers
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    Chapter 49 Implementation of an Interactive NPC Based on Game Ontology and Game Community Q/A Bulletin Board
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    Chapter 50 Theory of Saplings Growing Up Algorithm
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    Chapter 51 Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization
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    Chapter 52 Reinforcement Learning in Fine Time Discretization
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    Chapter 53 Agent-Based Approach to Solving the Resource Constrained Project Scheduling Problem
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    Chapter 54 A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
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    Chapter 55 Performance-Based Bayesian Learning for Resource Collaboration Optimization in Manufacturing Grid
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    Chapter 56 A Hybrid Simulated-Annealing Algorithm for Two-Dimensional Strip Packing Problem
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    Chapter 57 Handling Linguistic Values in Knowledge Acquisition
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    Chapter 58 An IA Based Approach for the Optimal Design of Traffic-Monitor Systems
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    Chapter 59 Finding the Optimal Path in 3D Spaces Using EDAs – The Wireless Sensor Networks Scenario
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    Chapter 60 Evidential Reasoning Based on Multisensor Data Fusion for Target Identification
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    Chapter 61 A Simple and Compact Algorithm for the RMQ and Its Application to the Longest Common Repeat Problem
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    Chapter 62 Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems
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    Chapter 63 An Evolutionary Approach for Approximating the Solutions of Systems of Linear Fuzzy Equations
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    Chapter 64 On Fuzzy Driven Support for SD-Efficient Portfolio Selection
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    Chapter 65 Fuzzy Kernel Ridge Regression for Classification
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    Chapter 66 Assessment of the Accuracy of the Process of Ceramics Grinding with the Use of Fuzzy Interference
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    Chapter 67 A Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment
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    Chapter 68 Improving Business Failure Predication Using Rough Sets with Non-financial Variables
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    Chapter 69 Optimization of Fuzzy Model Driven to IG and HFC-Based GAs
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    Chapter 70 Potential Assessment of an Ellipsoidal Neural Fuzzy Time Series Model for Freeway Traffic Prediction
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    Chapter 71 Digital Model of Series Resonant Converter with Piezoelectric Ceramic Transducers and Fuzzy Logic Control
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    Chapter 72 A Method to Classify Collaboration in CSCL Systems
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    Chapter 73 Electromagnetic Levitation System with Clustering Based Fuzzy Controller
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    Chapter 74 Fuzzy Relation-Based PNNs with the Aid of IG and Symbolic Gene Type-Based GAs
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    Chapter 75 Pricing the Foreign Currency Options with the Fuzzy Numbers Based on the Garman-Kohlhagen Model
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    Chapter 76 Designing Rough Sets Attributes Reduction Based Video Deinterlacing System
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    Chapter 77 Optimization of Fuzzy Membership Function Using Clonal Selection
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    Chapter 78 Clustering of Leaf-Labelled Trees
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    Chapter 79 Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments
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    Chapter 80 Softening Splits in Decision Trees Using Simulated Annealing
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    Chapter 81 A Novel Architecture for the Classification and Visualization of Sequential Data
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    Chapter 82 Locally Scaled Density Based Clustering
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    Chapter 83 Hierarchical Rules for a Hierarchical Classifier
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    Chapter 84 A Demonstration of Clustering in Protein Contact Maps for Alpha Helix Pairs
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    Chapter 85 Dynamic Data Probes
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    Chapter 86 Classifying Chemical Compounds Using Contrast and Common Patterns
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    Chapter 87 Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers
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    Chapter 88 Mutual Information Estimation in Higher Dimensions: A Speed-Up of a k -Nearest Neighbor Based Estimator
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    Chapter 89 Grammar-Based Classifier System for Recognition of Promoter Regions
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    Chapter 90 Learning Bayesian Classifiers from Dependency Network Classifiers
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    Chapter 91 Determining the Dependency Among Clauses Based on Machine Learning Techniques
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    Chapter 92 Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
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    Chapter 93 Effectiveness of Feature Space Selection on Credit Engineering on Multi-group Classification Cases
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    Chapter 94 Constructing Stereotypes for an Adaptive e-Shop Using AIN-Based Clustering
Attention for Chapter 29: A Hybrid Genetic Algorithm with Simulated Annealing for Nonlinear Blind Equalization Using RBF Networks
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Chapter title
A Hybrid Genetic Algorithm with Simulated Annealing for Nonlinear Blind Equalization Using RBF Networks
Chapter number 29
Book title
Adaptive and Natural Computing Algorithms
Published by
Springer, Berlin, Heidelberg, April 2007
DOI 10.1007/978-3-540-71618-1_29
Book ISBNs
978-3-54-071589-4, 978-3-54-071618-1
Authors

Soowhan Han, Imgeun Lee, Changwook Han