- author = "Vipul K. Dabhi and Sanjay Chaudhary",
- title = "A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions",
- howpublished = "arXiv",
- year = "2012",
- month = "6 " # nov,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://arxiv.org/abs/1211.1119",
- size = "7 pages",
- abstract = "In the field of empirical modelling using Genetic Programming (GP), it is important to evolve solution with good generalisation ability. Generalisation ability of GP solutions get affected by two important issues: bloat and over-fitting. We surveyed and classified existing literature related to different techniques used by GP research community to deal with these issues. We also point out limitation of these techniques, if any. Moreover, the classification of different bloat control approaches and measures for bloat and over-fitting are also discussed. We believe that this work will be useful to GP practitioners in following ways: (i) to better understand concepts of generalisation in GP (ii) comparing existing bloat and over-fitting control techniques and (iii) selecting appropriate approach to improve generalisation ability of GP evolved solutions.",
-
notes = "Information Technology Department, Dharmsinh Desai
University, Nadiad, INDIA.
DA-IICT, Gandhinagar, Gujarat, INDIA",
