Evolving directed graphs with artificial bee colony algorithm

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

@InProceedings{Li:2014:ICISDA,

• author = "Xianneng Li and Guangfei Yang and Kotaro Hirasawa",
• booktitle = "14th International Conference on Intelligent Systems Design and Applications",
• title = "Evolving directed graphs with artificial bee colony algorithm",
• year = "2014",
• pages = "89--94",
• abstract = "Artificial bee colony (ABC) algorithm is a relatively new optimisation technique that simulates the intelligent foraging behaviour of honey bee swarms. It has been applied to several optimisation domains to show its efficient evolution ability. In this paper, ABC algorithm is applied for the first time to evolve a directed graph chromosome structure, which derived from a recent graph-based evolutionary algorithm called genetic network programming (GNP). Consequently, it is explored to new application domains which can be efficiently modelled by the directed graph of GNP. In this work, a problem of controlling the agents's behaviour under a well known benchmark test bed called Tileworld are solved using the ABC-based evolution strategy. Its performance is compared with several very well-known methods for evolving computer programs, including standard GNP with crossover/mutation, genetic programming (GP) and reinforcement learning (RL).",
• keywords = "genetic algorithms, genetic programming, genetic network programming",
• DOI = "doi:10.1109/ISDA.2014.7066282",
• ISSN = "2164-7143",
• month = nov,
• notes = "Also known as \cite{7066282}",

}

Genetic Programming entries for Xianneng Li Guangfei Yang Kotaro Hirasawa

Citations