Genetic Programming

Genetic Programming

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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.In Meyer, Jean-Arcady, and Wilson, Stewart W. (editors), From Animals to Animals: Proceedings of the First International Conference on ... User Manual for RATS a€” Regression Analysis of Time Series. ... American Sciences Press. Dyson, F. 1985. Origins of Life. Cambridge University Press. Edelman, Gerald M. 1987.

Title:Genetic Programming
Author:John R. Koza
Publisher:MIT Press - 1992


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