Evolutionary Swarm Optimization Algorithm for Numerical Function Optimization

The paper introduces an evolutionary swarm model (ESM), based on the model, an evolutionary swarm algorithm (ESA) is designed out using five elements. In this work, the performance of ESA is tested with 5 multivariable benchmark functions, and compared with the other optimization algorithms. The simulation results show that the algorithm has an excellent performance in the global optimization, and can be efficiently employed to solve the optimization problem for the multimodal function with high dimensionality.