Abstract
Artificial bee colony (ABC) algorithm is a powerful stochastic evolutionary algorithm, which is widely used to solve complex optimisation problems. However, ABC is good at exploration but poor at exploitation because of its search strategy. For overcoming the shortcomings of original ABC algorithm, such as slow convergence and low solution accuracy, we propose a new ABC algorithm - artificial bee colony algorithm with improved special centre (ISC-ABC). Firstly, an improved special centre is used to determine the current gbest position, and lead the colony convergence. Secondly, Employed bees incorporate the information of gbest solution into the search strategy. By this way, the new candidate solutions are always around with gbest. Finally, compare result on 12 classic functions. The results testify that ISC-ABC performs significantly better than original ABC and several recently proposed similar algorithm.
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