Survival of the Fittest
Genetic Programming in REAL Studio
Issue: 9.2 (January/February 2011)
Author: Johnathan Mercer
Article Description: No description available.
Article Length (in bytes): 15,949
Starting Page Number: 27
RBD Number: 9206
9206project.zip Updated: Thursday, January 6, 2011 at 12:24 PM
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Excerpt of article text...
During his Nobel lecture, the one and only Richard Feynman said: "I think equation guessing might be the best method to proceed to obtain the laws for the part of physics which is presently unknown." That is exactly what we are going to do with REAL Studio in this article: brute force equation guessing. We will employ a method called genetic programming (GP) to search for the correct equation underlying a simulated dataset. To this end, I will introduce the basics of GP, explain how we can use these methods to "guess" equations (just one of many applications of GP), and then illustrate this approach in REAL Studio using simulated data.
Equations aside, what can you do with GP? From genetic-programming.org, you will find that some of the achievements include:
36 instances where GP has produced a result that is competitive with human performance; of which,
15 instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention
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