Genetic Programming
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Genetic Programming III
| Author | : John R. Koza |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 1516 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9781558605435 |
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Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.
Genetic Programming III Related Books
Language: en
Pages: 1516
Pages: 1516
Type: BOOK - Published: 1999 - Publisher: Morgan Kaufmann
Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre
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Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast
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Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesi
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To order this title for shipment to Austria, Germany, or Switzerland, please contact dpunkt verlag directly. "[The authors] have performed a remarkable double s
Language: en
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Type: BOOK - Published: 2021-02-08 - Publisher: Springer Nature
This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machin
