Abstract: When resolving complex problems,the artificial bee colony (ABC) has some disadvantages of slow convergence rate and easy to fall into local optimization,with the inspiration of the Brownian motion and Ito process,and imitating the designed idea of Ito algorithm,this paper proposed a improved artificial bee colony based on Ito algorithm (BMABC)．We designed different drift operator and fluctuation operator in the phases of the employed bees and the onlookers respectively．The drift operator ensures the drift direction to the optimal solution．The fluctuation operator ensures the diversity of the solutions．ABC,GABC and BMABC were tested by five classic functions．Experimental results show that BMABC retains the fast convergence and high convergence precision characteristics,as well as better stability.

Key words: Artificial bee colony algorithm,Brownian motion,Ito process,Ito algorithm