On the performance of artificial bee colony (ABC) algorithm

Karaboga D., Basturk B.

APPLIED SOFT COMPUTING, cilt.8, sa.1, ss.687-697, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 8 Sayı: 1
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.asoc.2007.05.007
  • Dergi Adı: APPLIED SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.687-697
  • Anahtar Kelimeler: swarm intelligence, bee colony algorithm, ABC, DE, PSO, EA, numerical optimization, GENETIC ALGORITHMS
  • Erciyes Üniversitesi Adresli: Evet

Özet

Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution ( DE), particle swarm optimization (PSO) and evolutionary algorithm ( EA) for multi-dimensional numeric problems. The simulation results show that the performance of ABC algorithm is comparable to those of the mentioned algorithms and can be efficiently employed to solve engineering problems with high dimensionality. (C) 2007 Elsevier B.V. All rights reserved.