Gene Expression Programming Mathematical Modeling by an Artificial Intelligence /

• Main Author: Ferreira, Cândida (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Studies in Computational Intelligence, 21
• Subjects: Computer science.; Computers.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.