- author = "Thomas Fernandez",
- title = "Novel Techniques in Genetic Programming",
- school = "Florida Atlantic University",
- year = "2006",
- address = "Boca Raton, FL, USA",
- month = dec,
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-0-542-93591-6",
-
URL = "
http://search.proquest.com/docview/305311992",
- size = "155 pages",
-
abstract = "Three major problems make Genetic Programming
unfeasible or impractical for real world problems.
The first is the excessive time complexity. In nature the evolutionary process can take millions of years, a time frame that is clearly not acceptable for the solution of problems on a computer. In order to apply Genetic Programming to real world problems, it is essential that its efficiency be improved.
The second is called overfitting (where results are inaccurate outside the training data). In a paper[36] for the Federal Reserve Bank, authors Neely and Weller state a perennial problem with using flexible, powerful search procedures like Genetic Programming is over fitting, the finding of spurious patterns in the data. Given the well-documented tendency for the genetic program to over fit the data it is necessary to design procedures to mitigate this.
The third is the difficulty of determining optimal control parameters for the Genetic Programming process. Control parameters control the evolutionary process.They include settings such as, the size of the population and the number of generations to be run. In his book[45], Banzhaf describes this problem, The bad news is th at Genetic Programming is a young field and the effect of using various combinations of parameters is just beginning to be explored.
We address these problems by implementing and testing a number of novel techniques and improvements to the Genetic Programming process. We conduct experiments using datasets of various degrees of difficulty to demonstrate success with a high degree of statistical confidence.",
-
notes = "Supervisor: Borko Furht
UMI Number: 3238947",
