Gene Expression Programming Mathematical Modeling by an Artificial Intelligence /

Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselve...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ferreira, Cândida (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Σειρά:Studies in Computational Intelligence, 21
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction: The Biological Perspective
  • The Entities of Gene Expression Programming
  • The Basic Gene Expression Algorithm
  • The Basic GEA in Problem Solving
  • Numerical Constants and the GEP-RNC Algorithm
  • Automatically Defined Functions in Problem Solving
  • Polynomial Induction and Time Series Prediction
  • Parameter Optimization
  • Decision Tree Induction
  • Design of Neural Networks
  • Combinatorial Optimization
  • Evolutionary Studies.