Gene expression programming : mathematical modeling by an artificial intelligence
Author(s)
Bibliographic Information
Gene expression programming : mathematical modeling by an artificial intelligence
（Studies in computational intelligence, Vol. 21）
Springer, c2006
2nd. rev. and extended ed.
Available at 3 libraries
Description and Table of Contents
Description
This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book includes a self-contained introduction to this new exciting field of computational intelligence. This second edition has been revised and extended with five new chapters.
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.
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