Scipediacontent: Scipediacontent moved page Draft Content 824607465 to Selmic et al 2015a

2021-02-12T11:46:39Z

Scipediacontent moved page Draft Content 824607465 to Selmic et al 2015a

Scipediacontent: Created page with " == Abstract == Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. This technique was motivated by the analogy found betwee..."

2021-02-12T11:46:35Z

Created page with " == Abstract == Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. This technique was motivated by the analogy found betwee..."

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== Abstract ==

Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. This technique was motivated by the analogy found between the natural behavior of bees searching for food and the behavior of optimization algorithms searching for an optimum in combinatorial optimization problems. BCO has been successfully applied to various hard combinatorial optimization problems, mostly in transportation, location and scheduling fields. There are some applications in the continuous optimization field that have appeared recently. The main purpose of this paper is to introduce the scientific community more closely with BCO by summarizing its existing successful applications. [Projekat Ministarstva nauke Republike Srbije, br. OI174010, OI174033, TR36002]

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_824607465-beopen56-6682-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.2298/yjor131029020t http://dx.doi.org/10.2298/yjor131029020t] under the license http://creativecommons.org/licenses/by-nc-sa/4.0/

* [http://scindeks.ceon.rs/article.aspx?artid=0354-02431502185T http://scindeks.ceon.rs/article.aspx?artid=0354-02431502185T]

* [http://www.doiserbia.nb.rs/ft.aspx?id=0354-02431400020T http://www.doiserbia.nb.rs/ft.aspx?id=0354-02431400020T]

* [http://www.doiserbia.nb.rs/ft.aspx?id=0354-02431400020T http://www.doiserbia.nb.rs/ft.aspx?id=0354-02431400020T],
: [http://www.doiserbia.nb.rs/Article.aspx?ID=0354-02431400020T http://www.doiserbia.nb.rs/Article.aspx?ID=0354-02431400020T],
: [http://yujor.fon.bg.ac.rs/index.php/journal/article/view/1278/766 http://yujor.fon.bg.ac.rs/index.php/journal/article/view/1278/766],
: [https://academic.microsoft.com/#/detail/2074906797 https://academic.microsoft.com/#/detail/2074906797]

* [http://www.doiserbia.nb.rs/img/doi/0354-0243/2015/0354-02431400020T.pdf http://www.doiserbia.nb.rs/img/doi/0354-0243/2015/0354-02431400020T.pdf],
: [https://doaj.org/toc/0354-0243 https://doaj.org/toc/0354-0243],
: [https://doaj.org/toc/2334-6043 https://doaj.org/toc/2334-6043]

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Selmic et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 824607465 to Selmic et al 2015a

Scipediacontent: Created page with " == Abstract == Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging habits of honeybees. This technique was motivated by the analogy found betwee..."