On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

Mernik M., Liu S., KARABOĞA D. , Crepinšek M.

INFORMATION SCIENCES, vol.291, pp.115-127, 2015 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 291
  • Publication Date: 2015
  • Doi Number: 10.1016/j.ins.2014.08.040
  • Title of Journal : INFORMATION SCIENCES
  • Page Numbers: pp.115-127


Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained meta-heuristic researchers' attention and favor over recent years. It comprises good balance between exploitation (employed bee phase and onlooker bee phase) and exploration (scout bee phase). As nowadays, more researchers are using ABC and its variants as a control group to perform comparisons, it is crucial that comparisons with other algorithms are fair. This paper points to some misapprehensions when comparing meta-heuristic algorithms based on iterations (generations or cycles) with special emphasis on ABC. We hope that through our findings this paper can be treated as a beacon to remind researchers to learn from these mistakes. (C) 2014 Elsevier Inc. All rights reserved.