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A Survey on the Applications of Bee Colony Optimization Techniques (in International Journal on Computer Science and Engineering (IJCSE) Vol. 3 No. 8)
Bibliografi
Author:
Kaur, Arvinder
;
Goyal, Shivangi
Topik:
Evolutionary Computing (EC)
;
Swarm Intelligence(SI)
;
Bee Colony Optimization (BCO)
;
Artificial Bee Colony Optimization (ABC)
Bahasa:
(ID )
Edisi:
Aug 2011
Penerbit:
SIPS Technologies
Tempat Terbit:
Chennai
Tahun Terbit:
2011
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
IJCSE11-03-08-097.pdf
(133.28KB;
5 download
)
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Abstract
In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the field of optimization problems because it provides immense problem solving scope for combinatorial and NP-hard problems. BCO is one of the benchmark systems portraying team work, collaborative work. BCO is a bottom-up approach of modeling where agents form global solution by optimizing the local solution.
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