Autonomous Search

Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hamadi, Youssef (Editor ), Monfroy, Eric (Editor ), Saubion, Frédéric (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Artificial intelligence.
Computer science-Mathematics.
Computational intelligence.
Computer science.
Control engineering.
Artificial Intelligence.
Mathematics of Computing.
Computational Intelligence.
Theory of Computation.
Control and Systems Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Autonomous Search.-Part I - Offline Configuration.-Evolutionary Algorithm Parameters and Methods to Tune Them
  • Automated Algorithm Configuration and Parameter Tuning
  • Case-Based Reasoning for Autonomous Constraint Solving
  • Learning a Mixture of Search Heuristics
  • Part II - Online Control
  • An Investigation of Reinforcement Learning for Reactive Search Optimization
  • Adaptive Operator Selection and Management in Evolutionary Algorithms
  • Parameter Adaptation in Ant Colony Optimization
  • Part III - New Directions and Applications
  • Continuous Search in Constraint Programming
  • Control-Based Clause Sharing in Parallel SAT Solving
  • Learning Feature-Based Heuristic Functions.

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