Advances in Computation and Intelligence
Springer Berlin (Verlag)
978-3-540-74580-8 (ISBN)
Multiobjective Evolutionary Optimization.- A New Evolutionary Decision Theory for Many-Objective Optimization Problems.- A Multi-Objective Genetic Algorithm Based on Density.- Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization.- A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization.- Study on Application of Multi-Objective Differential Evolution Algorithm in Space Rendezvous.- The Multi-objective ITO Algorithms.- An Evolutionary Algorithm for Dynamic Multi-Objective TSP.- The Construction of Dynamic Multi-objective Optimization Test Functions.- An Effective Dynamical Multi-objective Evolutionary Algorithm for Solving Optimization Problems with High Dimensional Objective Space.- Evolutionary Algorithms and Operators.- Operator Adaptation in Evolutionary Programming.- A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack.- About the Limit Behaviors of the Transition Operators Associated with EAs.- Differential Evolution Algorithm Based on Simulated Annealing.- A Novel Memetic Algorithm for Global Optimization Based on PSO and SFLA.- Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation.- A Granular Evolutionary Algorithm Based on Cultural Evolution.- A Self-adaptive Mutations with Multi-parent Crossover Evolutionary Algorithm for Solving Function Optimization Problems.- Evolutionary Optimization.- A Quantum Genetic Simulated Annealing Algorithm for Task Scheduling.- Optimized Research of Resource Constrained Project Scheduling Problem Based on Genetic Algorithms.- An Evolutionary Agent System for Mathematical Programming.- Agent-Based Coding GA and Application to Combat Modeling and Simulation.- A Two-Stage Genetic Algorithm for the Multi-multicast Routing.- A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization.- Performance Evaluation of Three Kinds of Quantum Optimization.- An Efficient Multilevel Algorithm for Inverse Scattering Problem.- Evolutionary Learning.- A New Evolutionary Neural Network and Its Application for the Extraction of Vegetation Anomalies.- Dynamic System Evolutionary Modeling: The Case of SARS in Beijing.- An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.- Gene Expression Programming with DAG Chromosome.- Neural Networks.- Zhang Neural Network for Online Solution of Time-Varying Sylvester Equation.- A Global Optimization Algorithm Based on Novel Interval Analysis for Training Neural Networks.- Approximate Interpolation by Neural Networks with the Inverse Multiquadric Functions.- Decomposition Mixed Pixel of Remote Sensing Image Based on Tray Neural Network Model.- A Novel Kernel Clustering Algorithm Based Selective Neural Network Ensemble Model for Economic Forecasting.- An Evolutionary Neural Network Based Tracking Control of a Human Arm in the Sagittal Plane.- Ant Colony, Particle Swarm Optimization and Artificial Immune Systems.- New Ant Colony Optimization for Optimum Multiuser Detection Problem in DS-CDMA Systems.- A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.- Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation.- Particle Swarm Optimization Using Lévy Probability Distribution.- Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation.- An Improved Multi-Objective Particle Swarm Optimization Algorithm.- Dynamic Population Size Based Particle Swarm Optimization.- An Improved ParticleSwarm Optimization for Data Streams Scheduling on Heterogeneous Cluster.- A Steepest Descent Evolution Immune Algorithm for Multimodal Function Optimization.- A Hybrid Clonal Selection Algorithm Based on Multi-parent Crossover and Chaos Search.- Pattern Recognition.- Spatial Clustering Method Based on Cloud Model and Data Field.- Diversity Analysis of Information Pattern and Information Clustering A
| Erscheint lt. Verlag | 28.8.2007 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XVII, 666 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1018 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | ant colony optimization • artificial immune • artificial life systems • Bioinformatics & bioengineering • Biological computing & DNA computing • Biological computing DNA computing • Cognition • cognitive science • Combinatorial & numerical optimization • Data Mining • Evolution • evolutionary computation • Evolutionary Data mining • Evolutionary learning systems • evolutionary optimization • feature extraction • Fuzzy Systems • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Intelligence • Intelligent Control • Intelligent GIS • learning • Learning & memory • neural network • Neural networks • pattern recognition • real-world applications • Representations & operators • Representations operators |
| ISBN-10 | 3-540-74580-7 / 3540745807 |
| ISBN-13 | 978-3-540-74580-8 / 9783540745808 |
| Zustand | Neuware |
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