Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence / Edition 2

by Candida Ferreira

Overview

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.

Product Details

ISBN-13:	9783642069321
Publisher:	Springer Berlin Heidelberg
Publication date:	10/14/2014
Series:	Studies in Computational Intelligence , #21
Edition description:	2nd ed. 2006
Pages:	480
Sales rank:	732,206
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

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.