Abstract: Aiming at the problems of weak optimization ability and slow convergence speed of artificial bee colony algorithm, we proposed an artificial bee colony algorithm based on adaptive dynamic reconfiguration and extremum disturbance. First, we introduced chaos optimization operator to generate initial solutions and carry out adaptive dynamic reconfiguration according to the contribution of hired bees. Then, we introduced extremum disturbance operator to implement random perturbation to the individual extreme value and global optimal value of hired bees. The experimental results show that the algorithm increases the diversity of the population, accelerates the speed of convergence, and improves the evolutionary ability of population.

Key words: artificial bee colony (ABC) algorithm, chaos optimization operator, contribution, adaptive dynamic reconfiguration, extremum disturbance