Evolving directed graphs with artificial bee colony algorithm

Xianneng Li, Guangfei Yang, Kotaro Hirasawa

研究成果: Conference contribution

5 引用 (Scopus)

抜粋

Artificial bee colony (ABC) algorithm is a relatively new optimization technique that simulates the intelligent foraging behavior of honey bee swarms. It has been applied to several optimization 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 modeled by the directed graph of GNP. In this work, a problem of controlling the agents's behavior under a wellknown benchmark testbed 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).

元の言語English
ホスト出版物のタイトルInternational Conference on Intelligent Systems Design and Applications, ISDA
出版者IEEE Computer Society
ページ89-94
ページ数6
2015-January
ISBN(印刷物)9781479979387
DOI
出版物ステータスPublished - 2015 3 23
イベント2014 14th International Conference on Intelligent Systems Design and Applications, ISDA 2014 - Okinawa, Japan
継続期間: 2014 11 282014 11 30

Other

Other2014 14th International Conference on Intelligent Systems Design and Applications, ISDA 2014
Japan
Okinawa
期間14/11/2814/11/30

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Control and Systems Engineering

これを引用

Li, X., Yang, G., & Hirasawa, K. (2015). Evolving directed graphs with artificial bee colony algorithm. : International Conference on Intelligent Systems Design and Applications, ISDA (巻 2015-January, pp. 89-94). [7066282] IEEE Computer Society. https://doi.org/10.1109/ISDA.2014.7066282