Abstract: Aiming at the problem that artificial bee colong algorithm has slower convergence rate in resolving unimodal problems and is easily trapped into local optimum in optimizing multimodal problems,according to the theory of group dynamics,an improved artificial bee colony algorithm with dual cognitive abilities which improves the search strategies of bees foraging behavior was presented by introducing the self-cognition and social cognition abilities.The experimental results show that the improved search strategies enhance the optimization performance of artificial bee colony algorithm and are superior to others by testing in a set of standard test functions.

Key words: Artificial bee colony algorithm,Group dynamics,Cognitive ability,Optimization