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  • Produktbild: Adaptive and Natural Computing Algorithms
  • Produktbild: Adaptive and Natural Computing Algorithms

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

Aus der Reihe Lecture Notes in Computer Science

99,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2007

Herausgeber

Bartlomiej Beliczynski + weitere

Verlag

Springer Berlin

Seitenzahl

854

Maße (L/B/H)

23,5/15,5/4,7 cm

Gewicht

1324 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-71589-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2007

Herausgeber

Verlag

Springer Berlin

Seitenzahl

854

Maße (L/B/H)

23,5/15,5/4,7 cm

Gewicht

1324 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-71589-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Adaptive and Natural Computing Algorithms
  • Produktbild: Adaptive and Natural Computing Algorithms
  • 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.