Binary artificial bee colony algorithm based on estimation of distribution.

To make full use of the population's global statistics information, this paper introduced estimation of distribution algorithm into binary artificial bee colony algorithm, and proposed a binary artificial bee colony algorithm based on estimation of distribution algorithm. It guided the candidate solution by the global statistics information from the estimation of distribution algorithm, which could enhance the global exploration ability. It designed the multidimensional update strategy in the discrete domain, which quickens convergence speed and reduces the computational complexity. The simulation results show that, compared with the traditional binary artificial bee colony algorithm, the performances of the improved algorithm are better in the optimization accuracy, convergence speed and robustness. [ABSTRACT FROM AUTHOR]