Toward robustness against environmental change speed by Artificial Bee Colony algorithm based on local information sharing

Abstract

This paper focuses on Artificial Bee Colony (ABC) algorithm in multimodal problems with dynamic environmental change, and proposes the additional improvement of ABC algorithm based on local information sharing (ABC-lis) toward robustness against environmental change speed. The additional improvement is that scout bee's phase is modified to calculate by sigmoid function. To investigate the global search ability of ABC-lis and the additional improvement, we compare these algorithms to 3 case of environmental change speeds. The experimental result revealed that the following implications: (1) ABC-lis cannot always maintains the search capability in any change speed. (2) ABC-lis with the additional improvement is able to exert a high performance at every change speed. (3) The number of bees in each local area is able to be controlled by the novel parameter Nl in ABC-lis with the additional improvement.