Application of Artificial Bee Colony Programming to Two Trails of the Artificial Ant Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Boudardara:2018:ISMSIT,

• author = "Fateh Boudardara and Beyza Gorkemli",
• booktitle = "2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)",
• title = "Application of Artificial Bee Colony Programming to Two Trails of the Artificial Ant Problem",
• year = "2018",
• abstract = "Automatic navigation of mobile robots has an increasing importance in many application fields such as robotics, mining industry, underwater exploration, aerospace research, virtual environments and games. In this study, we use artificial bee colony programming (ABCP), which is a novel evolutionary computation based automatic programming method, to solve the artificial ant problem that is considered as one of the basic test problems in robotic path planning. In order to see the performance of this method, a series of experiments are carried out on Santa Fe and Los Altos Hills trails. The results are compared with those of genetic programming.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ISMSIT.2018.8567048",
• month = oct,
• notes = "Also known as \cite{8567048}",

}

Genetic Programming entries for Fateh Boudardara Beyza Gorkemli

Citations