Cartesian Ant Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Hara:2011:SMC,

• author = "Akira Hara and Manabu Watanabe and Tetsuyuki Takahama",
• title = "Cartesian Ant Programming",
• booktitle = "IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011)",
• year = "2011",
• month = "9-12 " # oct,
• pages = "3161--3166",
• address = "Anchorage, Alaska, USA",
• size = "6 pages",
• abstract = "Genetic Programming (GP) is well-known as an evolutionary method for automatic programming. GP can optimise tree-structural programs. Cartesian GP (CGP) is one of the extensions of GP, which generates the graph structural programs. By using the graph structure, the solutions can be represented by more compact programs. Therefore, CGP is widely applied to the various problems. As a different approach from the evolution, there is the Ant Colony Optimisation (ACO), which is an optimisation method for combinatorial optimisation problems based on the cooperative behaviour of ants. By using pheromone communication, the promising solution space can be searched intensively. In this paper, we propose a new automatic programming method, which combines CGP and ACO. In this method, ants generate programs by moving in the node-network used in CGP. We call this method, Cartesian Ant Programming (CAP). We examined the effectiveness of CAP by comparing with CGP on the search performance in a symbolic regression and a classification problem.",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, ant colony optimisation, automatic programming, cartesian ant programming, classification problem, combinatorial optimisation, compact program, evolutionary method, graph structural program, pheromone communication, symbolic regression, tree-structural program optimisation, ant colony optimisation, trees (mathematics)",
• DOI = "doi:10.1109/ICSMC.2011.6084146",
• ISSN = "1062-922X",
• notes = "Also known as \cite{6084146}",

}

Genetic Programming entries for Akira Hara Manabu Watanabe Tetsuyuki Takahama

Citations