Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I by Bartlomiej BeliczynskiAdaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I by Bartlomiej Beliczynski

Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw…

byBartlomiej BeliczynskiEditorAndrzej Dzielinski, Marcin Iwanowski

Paperback | April 2, 2007

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This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.

Title:Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw…Format:PaperbackDimensions:854 pages, 23.5 × 15.5 × 0.01 inPublished:April 2, 2007Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540715894

ISBN - 13:9783540715894

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Table of Contents

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