John R. Koza, "Genetic Programming: On the Programming of Computers by Means of Natural Selection" (Sixth printing)
The MIT Press | ISBN 0262111705 | 1998 Year | DjVu | 10,9 Mb | 840 Pages
The MIT Press | ISBN 0262111705 | 1998 Year | DjVu | 10,9 Mb | 840 Pages
| “ | Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs. In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them. John R. Koza is Consulting Associate Professor in the Computer Science Department at Stanford University. | ” |