Hybrid integration of differential evolution with artificial bee colony for global optimization

研究成果: Conference contribution

抜粋

In this paper, we investigate the hybridization of a swarm intelligence algorithm and an evolutionary algorithm, namely, the Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE), to solve continuous optimization problems. This Hybrid Integration of DE and ABC (HIDEABC) technique is based on integrating the DE algorithm with the principle of ABC to improve the neighborhood search for each particle in ABC. The swarm intelligence of the ABC algorithm and the global information obtained by the DE population approach facilitate balanced exploration and exploitation using the HIDEABC algorithm. All algorithms were applied to five benchmark functions and were compared using several different metrics.

元の言語English
ホスト出版物のタイトルIJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence
ページ15-23
ページ数9
出版物ステータスPublished - 2012 12 1
イベント4th International Joint Conference on Computational Intelligence, IJCCI 2012 - Barcelona, Spain
継続期間: 2012 10 52012 10 7

出版物シリーズ

名前IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence

Conference

Conference4th International Joint Conference on Computational Intelligence, IJCCI 2012
Spain
Barcelona
期間12/10/512/10/7

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

これを引用

Tam, B. N., Hieu, P. N., & Hasegawa, H. (2012). Hybrid integration of differential evolution with artificial bee colony for global optimization. : IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence (pp. 15-23). (IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence).