The research reported in this book is a tour de force. For the first time, since the idea was bandied about in the '40s and early '50s, we have a non-trivial, nontailored set of examples of automatic programming." John HollandReseña del editor:
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Descripción A Bradford Book, 1992. Hardcover. Estado de conservación: New. Nº de ref. de la librería P110262111705
Descripción A Bradford Book, 1992. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0262111705
Descripción MIT Press. Estado de conservación: New. Brand New. Nº de ref. de la librería 0262111705
Descripción A Bradford Book, 1992. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0262111705