Introduction to Evolutionary Computing

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Eiben, A.E (Autor), Smith, J.E (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:2nd ed. 2015.
Colección:Natural Computing Series,
Temas:
Artificial intelligence.
Computational intelligence.
Computer science.
Control engineering.
Robotics.
Automation.
Mathematical optimization.
Artificial Intelligence.
Computational Intelligence.
Theory of Computation.
Control, Robotics, Automation.
Optimization.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Problems to Be Solved
  • Evolutionary Computing: The Origins
  • What Is an Evolutionary Algorithm?
  • Representation, Mutation, and Recombination
  • Fitness, Selection, and Population Management
  • Popular Evolutionary Algorithm Variants
  • Hybridisation with Other Techniques: Memetic Algorithms
  • Nonstationary and Noisy Function Optimisation
  • Multiobjective Evolutionary Algorithms
  • Constraint Handling
  • Interactive Evolutionary Algorithms
  • Coevolutionary Systems
  • Theory
  • Evolutionary Robotics
  • Parameters and Parameter Tuning
  • Parameter Control
  • Working with Evolutionary Algorithms
  • References.

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