000			01889nam a22001697a 4500
008			220108b ||||| |||| 00| 0 eng d
020			_a9780262527910
082			_a006.3 _bKOZ
100			_aKoza, John R. _96763
245			_aGenetic programming : _bon the programming of computers by means of natural selection
260			_aCambridge _bThe MIT Press _c1992
300			_a819p.
520			_a"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 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.
650			_aComputer programming _9416
650			_aGenetic programming _96764
942			_cBK
999			_c7630 _d7630