Abstract: Dragonfly algorithm is a kind of new intelligent algorithm based on the Dragonfly foraging food and evading predators, but there is also existing rough precision and slow convergence. In order to improve the precision of the algorithm and reduce the blindness search, this paper proposes a dragonfly algorithm based on differential evolution strategy, called DEDA. In late iteration, we introduce differential evolution into the next generation which could increase the diversity of the population. At last, we applied DEDA to solve six complex functions, and compared it with basic dragonfly algorithm from the results, the experimental results show that DEDA on solving complex function optimization problems have a certain advantage.