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This is an old revision of this page, as edited by Michaelmalak (talk | contribs) at 13:21, 17 July 2016 (→Deletion proposal: new section). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
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Untitled

Is this the same as Bees algorithm? Andreas Kaufmann (talk) 21:58, 11 February 2008 (UTC)[reply]

I asked myself the same question. I had a brief look at both algorithms and it seems to me that they are indeed very similar. Using the right parameters the Bee algorithm should function like the ABC (e.g. using half of the population as foragers). Oddly neither of the two groups working on ABC and BCO respectively recognize/cite the other algorithm in their articles even though they are similar and sometimes applied to similar problems. —Preceding unsigned comment added by 89.196.71.184 (talk) 19:14, 8 April 2008 (UTC)[reply]


The article at http://s.i-techonline.com/Book/Swarm-Intelligence/ISBN978-3-902613-09-7-swi08.pdf does a great job of summarizing the variations on this algorithm. In fact BCO and ABC are different algorithms developed by different parties, but as the previous poster remarked, the end result is pretty much identical. The articles should probably be merged to talk about both variations in a single article based on the analysis put forth by the linked article. 192.136.15.186 (talk) 20:10, 17 July 2008 (UTC)[reply]

Context wrt: similar work

This article would be improved if ABC could be explained explicitly in the body of the text, wrt: gradient descent, swarm intelligence, Bees algorithm and particle swarm optimisation. Leondz (talk) 11:26, 18 March 2014 (UTC)[reply]

Deletion proposal

I didn't see a separate page to discuss the proposed deletion.

While I agree there are too many pages on the metaheuristic optimization stuff, Artificial Bee Colony seems to have even more support than Firefly. I recommend that Artificial Bee Colony be one of the pages to keep. It has 17,400 results on Google Scholar [1] and a number of books searching for "artificial bee colony" intitle:optimization [2] including:

  • Evolutionary Optimization Algorithms by Dan Simon; Wiley [3]
  • Extremal Optimization: Fundamentals, Algorithms, and Applications by Yong-Zai Lu, Yu-Wang Chen, Min-Rong Chen, Peng Chen, Guo-Qiang Zeng; CRC Press [4]
  • Advances in Bio-inspired Computing for Combinatorial Optimization Problems by Camelia-Mihaela Pintea; Springer [5]
  • Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® by S. Sumathi, L. Ashok Kumar, Surekha. P; CRC Press [6]
  • Guided Randomness in Optimization by Maurice Clerc; Wiley [7]

Michaelmalak (talk) 13:21, 17 July 2016 (UTC)[reply]

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