Evolutionary Optimization: the µGP toolkit

This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard pro...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sanchez, Ernesto (Autor), Schillaci, Massimiliano (Autor), Squillero, Giovanni (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Artificial intelligence.
Application software.
Computer-aided engineering.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer-Aided Engineering (CAD, CAE) and Design.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Evolutionary computation
  • Why yet another one evolutionary optimizer?
  • The μGP architecture
  • Advanced features
  • Performing an evolutionary run
  • Command line syntax
  • Syntax of the settings file
  • Syntax of the population parameters file
  • Syntax of the external constraints file
  • Writing a compliant evaluator
  • Implementation details
  • Examples and applications
  • Argument and option synopsis
  • External constraints synopsis
  • Index
  • References.

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