7/6/2003 - The book Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence by Candida Ferreira, 2002, has now been published and is available to order online.

In this first book on gene expression programming the author describes thoroughly the basic gene expression algorithm and numerous modifications to this new algorithm, providing all the implementation details so that anyone with elementary programming skills will be able to implement it themselves.

As a powerful meta-language, gene expression programming touches all the fields of computer intelligence and everyone who faces challenging problems and cannot solve them using either traditional mathematical approaches or sophisticated machine learning techniques can benefit from the practical understanding of this new powerful technique.

The book is self-contained and can be used by people with little knowledge of calculus and no prerequisites associated with knowledge of any programming language are required.

The book provides an introduction to this new exciting field of computer intelligence, including a large body of previously unpublished materials such as:

o data mining
o classifier systems
o parameter optimization
o evolution of Kolmogorov-Gabor polynomials
o times series prediction
o evolution of linking functions
o multicellular systems
o automatically defined functions
o user defined functions
o complete neural network induction

The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computists and evolutionary biologists.

For further information and to order online, please go to:

https://www.gene-expression-programming.com/Books/index.asp