@article{(Open Science Index):https://publications.waset.org/pdf/10000040,
	  title     = {Using Cooperation Approaches at Different Levels of Artificial Bee Colony Method},
	  author    = {Vahid Zeighami and  Mohsen Ghasemi and  Reza Akbari},
	  country	= {},
	  institution	= {},
	  abstract     = {In this work, a Multi-Level Artificial Bee Colony
(called MLABC) for optimizing numerical test functions is presented.
In MLABC, two species are used. The first species employs n
colonies where each of them optimizes the complete solution vector.
The cooperation between these colonies is carried out by exchanging
information through a leader colony, which contains a set of elite
bees. The second species uses a cooperative approach in which the
complete solution vector is divided to k sub-vectors, and each of
these sub-vectors is optimized by a colony. The cooperation between
these colonies is carried out by compiling sub-vectors into the
complete solution vector. Finally, the cooperation between two
species is obtained by exchanging information. The proposed
algorithm is tested on a set of well-known test functions. The results
show that MLABC algorithm provides efficiency and robustness to
solve numerical functions.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {1408 - 1414},
	  ee        = {https://publications.waset.org/pdf/10000040},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},
	}