Evolutionary Computation for Modeling and Optimization

Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduce...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ashlock, Daniel (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Algorithms.
Mathematics.
Artificial intelligence.
Bioinformatics.
Applications of Mathematics.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Overview of Evolutionary Computation
  • Designing Simple Evolutionary Algorithms
  • Optimizing Real-Valued Functions
  • Sunburn: Coevolving Strings
  • Small Neural Nets : Symbots
  • Evolving Finite State Automata
  • Ordered Structures
  • Plus-One-Recall-Store
  • Fitting to Data
  • Tartarus: Discrete Robotics
  • Evolving Logic Functions
  • ISAc List: Alternative Genetic Programming
  • Graph-Based Evolutionary Algorithms
  • Cellular Encoding
  • Application to Bioinformatics.

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