Artificial Bee Colony Algorithm Based On Von Neumann Topology Structure
Wenping Zou, Yunlong Zhu, Hanning Chen, Hai Yan Shen · 2010
Article Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper proposes a new variant of the ABC algorithm based on Von Neumann topology structure for solving global optimization problems, namely Von Neumann Neighborhood Article Bee Colony (VABC). VABC significantly improves the original ABC in solving complex optimization problems. In this work, VABC algorithm is used for optimizing a set of widely-used benchmark functions and the comparative results produced by ABC. The simulation results showe that the proposed VABC outperforms the original ABC algorithms in terms of accuracy, robustness and convergence speed.