An improved Gbest-guided artificial bee colony algorithm based on dynamic regulatory factor

摘要

To address the problems of Gbest-guided artificial bee colony (GABC) algorithm that the low speed in the searching process and the solution is easy to fall into the local optimal, we presented an improved artificial algorithm with the dynamic regulatory factor (DRF-GABC). The dynamic regulatory factor was introduced into GABC algorithm to dynamically regulate the global optimization process and local optimal process of the algorithm. The improved algorithm was used for optimizing a set of numerical test functions and compared with the original ABC algorithm and the GABC algorithm. The experiments results show that the convergence performance of DRF-GABC algorithm is better than ABC algorithm and GABC algorithm, and it is suitable for solving optimization problems of complex function.