- author = "Wolfgang Banzhaf and Peter Nordin and Robert E. Keller and Frank D. Francone",
- title = "Genetic Programming -- An Introduction; On the Automatic Evolution of Computer Programs and its Applications",
- publisher = "Morgan Kaufmann",
- publisher2 = "dpunkt.verlag",
- year = "1998",
- address = "San Francisco, CA, USA",
- address2 = "Heidelberg",
- month = jan,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-55860-510-X",
- ISBN = "3-920993-58-6",
-
URL = "
https://www.amazon.co.uk/Genetic-Programming-Introduction-Artificial-Intelligence/dp/155860510X",
- broken = "http://www.elsevier.com/wps/find/bookdescription.cws_home/677869/description#description",
-
notes = "details from banzhaf Tue, 23 Sep 1997 12:58:06 PDT
updated banzhaf Fri, 23 Jun 2006 11:40:44 -0230
FROM THE FOREWORD BY J.R. KOZA
Genetic programming addresses the problem of automatic programming, namely the problem of how to enable a computer to do useful things without instructing it, step by step, on how to do it. The rapid growth of the field of genetic programming reflects the growing recognition that, after half a century of research in the fields of artificial intelligence, machine learning, adaptive systems, automated logic, expert systems, and neural networks, we may finally have a way to achieve automatic programming. Genetic programming is fundamentally different from other approaches in terms of (i) its representation (namely, programs), (ii) the role of knowledge (none), (iii) the role of logic (none), and (iv) its mechanism (gleaned from nature) for getting to a solution within the space of possible solutions.
FROM THE FIRST SECTION OF THE BOOK
Automated programming will be one of the most important areas of computer science research over the next twenty years. Hardware speed and capability has leapt forward exponentially. Yet software consistently lags years behind the capabilities of the hardware. The gap appears to be ever increasing. Demand for computer code keeps growing but the process of writing code is still mired in the modern day equivalent of the medieval ``guild'' days. Like swords in the 15th century, muskets before the early 19th century and books before the printing press, each piece of computer code is, today, handmade by a craftsman for a particular purpose. The history of computer programming is a history of attempts to move away from the ``craftsman'' approach -- structured programming, object oriented programming, object libraries, rapid prototyping. But each of these advances leaves the code that does the real work firmly in the hands of a craftsman, the programmer. The ability to enable computers to learn to program themselves is of the utmost importance in freeing the computer industry and the computer user from code that is obsolete before it is released.
",
- size = "480 pages",
