Abstract
The paper introduces an evolution swarm model that clearly demonstrates many intelligent algorithms. Based on the model, an evolutionary swarm algorithm is designed. In this work, the evolutionary swarm algorithm is tested with 5 multivariable benchmark functions. The simulation results show that the algorithm possesses an excellent performance in the global optimization, and can be efficiently employed to solve the multimodal function optimization for the multimodal function with high dimensionality.