An improved artificial bee colony with new search strategy

Abstract

Artificial Bee Colony (ABC) is a recently proposed optimisation algorithm, which is inspired by the foraging behaviour of honey bees. Although the original ABC has obtained competitive performance on many optimisation problems, it lacks exploitation ability. To overcome this issue, an improved ABC algorithm called IABC is proposed in this paper. The IABC uses a new search strategy by incorporating some randomly selected individuals and the global best individual. In the experiment, a set of well-known benchmark functions are tested. Computational results show that the proposed IABC outperforms the original ABC and GABC.