On the performance of artificial bee colony (ABC) algorithm

  • Authors:
  • D. Karaboga;B. Basturk

  • Affiliations:
  • Erciyes University, Engineering Faculty, Computer Engineering Department, TR-38039 Kayseri, Turkey;Erciyes University, Engineering Faculty, Computer Engineering Department, TR-38039 Kayseri, Turkey

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2008

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Abstract

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.