A Developed Artificial Bee Colony Algorithm Based on Cloud Model

The Artificial Bee Colony (ABC) algorithm is Hand a bionic intelligent optimization method.The cloud model is a kind of uncertainty conversion model between a qualitative concept T ˜ that is presented by nature language and its quantitative expression, which integrates probability theory and the fuzzy mathematics.A developed ABC algorithm based on cloud model is proposed to enhance accuracy of the basic ABC algorithm and avoid getting trapped into local optima by introducing a new select 6KG mechanism, replacing the onlooker bees’ search formula and changing the scout bees’ updating formula.Experiments on CEC15 show that the new algorithm has a faster convergence speed and higher accuracy than the basic ABC and some cloud model based ABC variants.