Scatter Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Hedar:2010:ICCTD,

• author = "Abdel-Rahman Hedar and Mostafa Kamel Osman",
• title = "Scatter Programming",
• booktitle = "2nd International Conference on Computer Technology and Development (ICCTD), 2010",
• year = "2010",
• month = "2-4 " # nov,
• pages = "451--455",
• address = "Cairo",
• abstract = "The core of artificial intelligence and machine learning is to get computers to solve problems automatically. One of the great tools that attempt to achieve that goal is Genetic Programming (GP). As alternatives to GP, Scatter Programming (SP) is proposed in this paper. One of the main features of SP is to exploit local search in order to overcome some recently addressed drawbacks of GP, especially its highly disruption of its main operations; crossover and mutation. This work shows that SP has promising performance and results in solving machine learning problems.",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, grammatical evolution, artificial intelligence, machine learning, scatter programming, learning (artificial intelligence)",
• DOI = "doi:10.1109/ICCTD.2010.5645839",
• notes = "symbolic regression, 6-mux. Also known as \cite{5645839}",

}

Genetic Programming entries for Abdel-Rahman Hedar Mostafa Kamel Osman

Citations