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In this paper, a new projection pursuit model based on differential evolution & particle swarm optimization (DEPSOPP) is proposed. Firstly, a hybrid differential evolution particle swarm optimization algorithm (DEPSO) is proposed through the combination of the improved particle swarm optimization algorithm with variable weights (VWPSO) and differential evolution algorithm (DE). Secondly, the optimization of the projection direction is the key of the projection pursuit algorithm. The hybrid DEPSO algorithm would be applied in the optimization of the projection direction. Finally, the experiment results of test functions show that the new hybrid DEPSO algorithm has the excellent convergence, accuracy and robustness. This indicates that the DEPSOPP evaluation model is a better feature assessment model.
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