- author = "W. J. L. N. Wijayaweera and A. S. Karunananda",
- title = "Framework for Discovery of Data Models Using Genetic Programming",
- booktitle = "Proceeding of the ninth Annual Sessions Sri Lanka Association for Artificial Intelligence (SLAAI 2012)",
- year = "2012",
- editor = "Nalin Wickramarachchi and H. U. W. Ratnayake",
- pages = "48--56",
- address = "Sri Lanka",
- publisher_address = "Nawala, Nugegoda, Sri Lanka",
- month = "18 " # dec,
- publisher = "The Open University",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://slaai.lk/proc/2012/p2012.pdf",
-
URL = "
http://dl.lib.mrt.ac.lk/handle/123/14527",
- size = "9 pages",
- abstract = "The field of Genetic Programming in Artificial Intelligence strives to get computers to solve a problem without explicitly coding a solution by a programmer. Genetic Programming is a relatively new technology, which comes under automatic programming. After the initial work by John R. Koza in genetic programming, much research work have been done to discover data models in various datasets. These work have been rather domain specific and little attention has been given to develop generic framework for modelling and experimenting with genetic programming solutions for real world problems. This paper discusses a project to develop a visual environment, named as GPVLab, to design and experiment with genetic programming solutions for real world problems. GPVLab has successfully discovered data models for various data sets and according to the main evaluation it is evident that GPVLab can generate solutions which provide better results in 56percent of the time. It is concluded that GPVLab can be used to model genetic programming application very conveniently. GPVLab can be used not only for discovering data models but also doing various experiments in genetic programming.",
-
notes = "World Bank Data Catalog
Faculty of Information Technology, University of Moratuwa, Sri Lanka",
