Cartesian ant programming with transition rule considering internode distance

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Kushida:2016:IWCIA,

• author = "Jun-ichi Kushida and Akira Hara and Tetsuyuki Takahama and Shogo Nagura",
• booktitle = "2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)",
• title = "Cartesian ant programming with transition rule considering internode distance",
• year = "2016",
• pages = "101--105",
• abstract = "In recent years, Cartesian Ant Programming (CAP) has been proposed as a swarm-based automatic programming method, which combines graph representations in Cartesian Genetic Programming with search mechanism of Ant Colony Optimisation. In CAP, once an ant jumps a number of nodes, the skipped nodes are not used and wasted in search. To make the use frequency of nodes uniform, we propose CAP with transition rule considering inter node distance. We focus on the distance at the beginning of search to use a large number of nodes for exploration of search. As the search proceeds, the search comes to depend on the pheromone information for exploitation of search. In addition, to prevent the excessive use of the unnecessary nodes, we modify the method of dynamic symbol assignments to nodes so that not only functional symbols but also terminal symbols can be assigned to the respective nodes. We examined the effectiveness of our proposed method by applying it to symbolic regression problems. From the experimental results, we confirmed the improvement of performance and the relief of bias in use frequency of nodes by our proposed method.",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• DOI = "doi:10.1109/IWCIA.2016.7805756",
• month = nov,
• notes = "Also known as \cite{7805756}",

}

Genetic Programming entries for Jun-ichi Kushida Akira Hara Tetsuyuki Takahama Shogo Nagura

Citations