Computational Intelligence Collaboration, Fusion and Emergence /

This book is the first in a new series entitled "Intelligent Systems Reference Library". It is a collection of chapters written by leading experts, covering a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence (CI). Authors in thi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Mumford, Christine L. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Intelligent Systems Reference Library, 1
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Mathematics.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Applications of Mathematics.
Acceso en línea:Texto Completo
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.

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