Inverse algorithm is one of the key issues in particle measurement technology of light scattering. Single parameter regularization algorithm, especially Tikhonov regularization algorithm is widely used for back calculation of particle size distribution (PSD) in laser particle analyzer. One of the disadvantages of such algorithm is that the inversion solution is usually oscillatory and contains negatives values. To improve the situation, a multi-parameter regularization algorithm is proposed. By constructing a band-pass filter function that is controlled by multiple parameters, oscillations and the height of the regularization solution can be controlled, respectively. Moreover, the regularization solution is nonnegative constrained. Simulated results and experimental evidences show that, with the optimized parameters, the algorithm can eliminate the oscillations and negative values brought by regularization algorithm. Meanwhile, the proposed algorithm has better ability to recognize the multimodal system, and exhibits high ability to effectively re-construct the PSD.