Computational Intelligence : Collaboration, Fusion and Emergence /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
|
| Edición: | 1st ed. 2009. |
| Colección: | Intelligent Systems Reference Library,
1 |
| Materias: |
Tabla de Contenidos:
- Synergy in Computational Intelligence
- Computational Intelligence: The Legacy of Alan Turing and John von Neumann
- Fusing Evolutionary Algorithms and Fuzzy Logic
- Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem
- Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems
- Multiobjective Genetic Fuzzy Systems
- Adaptive Solution Schemes
- Exploring Hyper-heuristic Methodologies with Genetic Programming
- Adaptive Constraint Satisfaction: The Quickest First Principle
- Multi-agent Systems
- Collaborative Computational Intelligence in Economics
- IMMUNE: A Collaborating Environment for Complex System Design
- Bayesian Learning for Cooperation in Multi-Agent Systems
- Collaborative Agents for Complex Problems Solving
- Computer Vision
- Predicting Trait Impressions of Faces Using Classifier Ensembles
- The Analysis of Crowd Dynamics: From Observations to Modelling
- Communications for CI Systems
- Computational Intelligence for the Collaborative Identification of Distributed Systems
- Collaboration at the Basis of Sharing Focused Information: The Opportunistic Networks
- Artificial Immune Systems
- Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems
- Parallel Evolutionary Algorithms
- Evolutionary Computation: Centralized, Parallel or Collaborative
- CI for Clustering and Classification
- Fuzzy Clustering of Likelihood Curves for Finding Interesting Patterns in Expression Profiles
- A Hybrid Rule-Induction/Likelihood-Ratio Based Approach for Predicting Protein-Protein Interactions
- Improvements in Flock-Based Collaborative Clustering Algorithms
- Combining Statistics and Case-Based Reasoning for Medical Research
- Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence.