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Details for article 2 of 5 found articles
| Title: |
Inductive Genetic Programming with Decision Trees |
| Author: |
Nikolaev, Nikolay I. Slavov, Vanio |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 2 (2013) nr. 1 pages 31-44 |
| Year: |
2013-06-14 |
| Contents: |
This article proposes a study of inductive Genetic Programming with Decision Trees (GPDT). The theoretical underpinning is an approach to the development of fitness functions for improving the search guidance. The approach relies on analysis of the global fitness landscape structure with a statistical correlation measure. The basic idea is that the fitness landscape could be made informative enough to enable efficient search navigation. We demonstrate that by a careful design of the fitness function the global landscape becomes smoother, its correlation increases, and facilitates the search. Another claim is that the fitness function has not only to mitigate navigation difficulties, but also to guarantee maintenance of decision trees with low syntactic complexity and high predictive accuracy. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 5 found articles
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