Genetic Programming

<b>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. </b><p>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. <i>Genetic Programming</i> 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.</p>