Aiming at the disadvantages of artificial bee colony algorithm

such as slow convergence speed

low convergence precision

strong exploration ability but weak development ability

an improved artificial bee colony（ IABC） algorithm is proposed. In order to enhance the development ability of nectar source and accelerate the convergence speed of the algorithm

the algorithm uses the Euclidean distance to obtain the local optimal nectar source

enhance the connection of similarity of nectar source structure and the influence of the excellent nectar source; according to different search stage

choose different search strategies to increase the diversity of the population so as to avoid premature convergence of the algorithm in search process

which is conducive to balance the ability for exploring and developing. The simulation results show that the improved algorithm can effectively improve convergence speed and solution precision.