Foundations of Genetic Programming

From the reviews:

I came to this book from an engineering perspective as a GP practitioner
interested in practical issues such as which cross-over operator was most
applicable for my problem. Whilst this book did not offer any clear-cut
answers, this is a reflection of the fact that there are no clear-cut answers,
yet. What the book does succeed in doing is providing an illuminating overview
of the body of work which will, in time, come to provide a theoretical
foundation, and accurate prescriptions, for all of the ad-hoc tweaks and
adjustments that we make in practise.
This was published in the British Computer Society journal " Expert Update" , 5(3) p46, 2002 by Steve Phelps.

" Is genetic programming (GP) better than random search? Langdon and Poli take on the ambitious task of giving a unified overview of a field still in its infancy, and the result is an invaluable companion to the literature. The book proceeds to give a comprehensive and illuminating treatment of the most important theorems. throughout the book the formal side of the theory is developed alongside intuitive explanations and constructive analysis of actual empirical data. " (Steve Phelps, Expert Update, Vol. 5 (3), 2002)

" The book `Foundations of Genetics Programming summarizes appearances and approaches in the GP section. There are many references for details in the text. Naturally, a large list of references is printed in the appendix. In conclusion, the book describes general principles of genetic programming. I recommend this as the first book for those who are familiarized with the GA and want to be in the know of the GP. " (Vít Fábera, Neural Network World, Vol. 12 (4), 2002)