Evolutionary Multi-objective Optimization in Uncertain Environments : Issues and Algorithms /

Evolutionary Multi-objective Optimization in Uncertain Environments : Issues and Algorithms /

Detalles Bibliográficos
Autores principales: Goh, Chi-Keong. (Autor), Tan, Kay Chen. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 186
Materias:
Computer-aided engineering.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Computer-Aided Engineering (CAD, CAE) and Design.
Mathematical and Computational Engineering.
Artificial Intelligence.
Tabla de Contenidos:
  • I: Evolving Solution Sets in the Presence of Noise
  • Noisy Evolutionary Multi-objective Optimization
  • Handling Noise in Evolutionary Multi-objective Optimization
  • Handling Noise in Evolutionary Neural Network Design
  • II: Tracking Dynamic Multi-objective Landscapes
  • Dynamic Evolutionary Multi-objective Optimization
  • A Coevolutionary Paradigm for Dynamic Multi-Objective Optimization
  • III: Evolving Robust Solution Sets
  • Robust Evolutionary Multi-objective Optimization
  • Evolving Robust Solutions in Multi-Objective Optimization
  • Evolving Robust Routes
  • Final Thoughts.

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