Cartesian Ant Programming Introducing Symbiotic Relationship between Ants and Aphids

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

@InProceedings{Kushida:2017:IWCIA,

• author = "Jun-ichi Kushida and Akira Hara and Tetsuyuki Takahama and Naoya Mimura",
• booktitle = "2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA)",
• title = "Cartesian Ant Programming Introducing Symbiotic Relationship between Ants and Aphids",
• year = "2017",
• pages = "115--120",
• month = "11-12 " # nov,
• address = "Hiroshima, Japan",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, Cartesian Ant Programming, Ant Colony Optimization, ACO, Symbiotic relationship",
• isbn13 = "978-1-5386-0470-0",
• DOI = "doi:10.1109/IWCIA.2017.8203571",
• size = "6 pages",
• abstract = "Cartesian Ant Programming (CAP) is one of the swarm-based automatic programming method, which combines graph representations in Cartesian Genetic Programming with search mechanism of Ant Colony Optimisation. CAP generates a graph structure program based on pheromone sprayed on routes. By using pheromone communication, ants can search the promising solution space intensively. However, once the pheromone is convergence, ants concentrate on the certain route and search ability of diversification decrease. In this research, in order to solve this problem we propose a modified CAP introducing symbiotic relationship between ants and aphids. In the CAP developed in this research, we consider nodes to be aphids coexisting with ants, and ants consider not only pheromone communication, but also secretions secreted by the aphid and generates a program. We examined the effectiveness of our proposed method by applying it to symbolic regression problems. Through experimental results, we confirmed that The performance of the proposed method outperformed conventional CAP.",
• notes = "Also known as \cite{8203571}",

}

Genetic Programming entries for Jun-ichi Kushida Akira Hara Tetsuyuki Takahama Naoya Mimura

Citations