Golden Search Based Artificial Bee Colony Algorithm and Its Application to Solve Engineering Design Problems

A poor balance between exploration and exploitation may result in a weak optimization method which may suffer from premature convergence, trapping in a local optima, and stagnation. In order to enhance the global convergence and to prevent to stick on a local solution of the ABC, an improvement based on golden section search method is proposed in this paper. The local search algorithm assists in the global search of the solution. Numerical results show that the hybridization is beneficial and outperform when applied on four engineering design problems taken from literature.