Advances in Computation and Intelligence
(Sprache: Englisch)
This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about...
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Produktinformationen zu „Advances in Computation and Intelligence “
Klappentext zu „Advances in Computation and Intelligence “
This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.
Inhaltsverzeichnis zu „Advances in Computation and Intelligence “
Section I: Computational Intelligence.- A Balanced Ensemble Learning with Adaptive Error Functions.- A Self-adaptive Evolutionary Programming Based on Optimum Search Direction.- Dynamic Clonal and Chaos-Mutation Evolutionary Algorithm for Function Optimization.- A Parallel Self-adaptive Subspace Searching Algorithm for Solving Dynamic Function Optimization Problems.- Improved GuoTao Algorithm for Unconstrained Optimization Problems.- Gene Expression Programming Based on Subexpression Library and Clonal Selection.- Correlation between Mutations and Self-adaptation in Evolutionary Programming.- Representations of Evolutionary Electronics.- Section II: Evolutionary Computation.- A Novel Particle Swarm Optimization for Constrained Engineering Optimization Problems.- An Improved Differential Evolution Based on Triple Evolutionary Strategy.- Cluster-Degree Analysis and Velocity Compensation Strategy of PSO.- Combine LHS with MOEA to Optimize Complex Pareto Set MOPs.- Energy-Predicted Shortest Routing Tree Algorithm in Wireless Sensor Networks.- Evolutionary Antenna Design via Modified Normalized GT Algorithm.- Quantitative Cryptanalysis of Six-Round DES Using Evolutionary Algorithms.- Section III: Evolutionary Multi-objective and Dynamic Optimization.- A K-Nearest-Neighbors Pareto Rank Assignment Strategy and Compound Crossover Operator Based NSGA-II and Its Applications on Multi-objective Optimization Functions.- A Multi-objective Differential Evolutionary Algorithm Based on Spacial Distance.- A Novel Opposition-Based Multi-objective Differential Evolution Algorithm for Multi-objective Optimization.- Acquainted Non-convexity Multiresolution Based Optimization for Affine Parameter Estimation in Image Registration.- An Improved Hybrid Multi-objective Particle Swarm Optimization Algorithm.- Application of Ant Colony Optimization Algorithm to Multi-Join Query Optimization.- A Hybrid Algorithm for Vehicle Routing Problem with Time Windows.- Section IV: EvolutionaryLearning
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Systems.- An Architecture Design for Evolvable Computer.- Gene Expression Programming Neural Network for Regression and Classification.- Granular-Based Linguistic Models for Identification of Process System.- Particle Swarm Optimization Applied to Restoration of Electrical Energy Distribution Systems.- Space Regression Analysis on Geochemical Data by the GEP Evolutionary Model Based on Kriging.- Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks.- A Strategic Model for Measuring Agility with Fuzzy Logic.- Section V: Neural Networks.- Comparison on Gradient-Based Neural Dynamics and Zhang Neural Dynamics for Online Solution of Nonlinear Equations.- Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering.- Modeling Hysteresis in Piezo Actuator Based on Neural Networks.- Modeling of Grey Neural Network and Its Applications.- On-Line Estimation of Biomass Concentration Based on ANN and Fuzzy C-Means Clustering.- PCA-Based Elman Neural Network Algorithm.- Prediction Model of Water Resources in Mine Area Based on Phase Space Reconstruction and Chaos Neural Network.- Predictive Control Strategy of Hydraulic Turbine Turning System Based on BGNN Neural Network.- The Application of Improved BP Neural Network Algorithm in Lithology Recognition.- Section VI: Classification and Recognition.- A Combined Classification Algorithm Based on C4.5 and NB.- A Keyword Extraction Method Based on Lexical Chains.- A Method of the Extraction of Texture Feature.- A Transductive Learning Method for Interactive Image Segmentation.- A New Approach of Feature Selection for Chinese Web Page Categorization.- Easily Reconfigurable Analytical Fuzzy Predictive Controllers: Actuator Faults Handling.- Incremental Manifold Learning Algorithm Using PCA on Overlapping Local Neighborhoods for Dimensionality Reduction.- Intelligent 3D Face Recognition
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Bibliographische Angaben
- 2008, 866 Seiten, mit Schwarz-Weiß-Abbildungen, Maße: 15,6 x 23,8 cm, Kartoniert (TB), Englisch
- Herausgegeben: Lishan Kang, Zhihua Cai, Xuesong Yan, Yong Liu
- Verlag: Springer
- ISBN-10: 3540921362
- ISBN-13: 9783540921363
- Erscheinungsdatum: 08.12.2008
Sprache:
Englisch
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