文件名称:
Genetic.Programming.On.the.Programming.of.Computers.by.Means.of.Natural.Selection.-.John.R.Koza
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文件大小: 5mb
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上传时间: 2009-12-29
详细说明： 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 allo w 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. ...展开收缩
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