Swarm intelligence
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Large scale evolutionary optimization using cooperative coevolution
Information Sciences: an International Journal
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
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In this paper we investigate about the Neighborhood search mechanisms to improve the performance of Artificial Bee Colony (ABC) on shifted and rotated benchmark functions, proposed in CEC 2005. Although basic version of ABC has been provided with adaptive search mechanism, it will not be able to tackle complex functions with much accuracy unless it was enriched with an efficient neighborhood search scheme. Experimental results have explicitly shown that Neighborhood search based ABC (NS-ABC) performed superiorly well over other variants of ABC.