中文摘要：

针对多资源均衡问题的特点，建立了描述问题的数学模型，然后运用多目标优化的思想，提出了一种新的基于Pareto和向量评价的微粒群算法（VEPSO-BP）。最后通过算例的计算分析，用VEPSO-BP得到的各项资源的最小资源强度分别比VEPSO降低了22．3％、10．1％和23．7％，验证了该方法在多资源均衡优化中的可行性和有效性。

英文摘要：

Based on the characteristics of multi-resources optimization, this paper establishes a mathematic model. Then, applying the method of multi-objectives optimization, it puts forward a new vector evaluated particle swarm optimization based on Pareto （VEPSO-BP）. Finally through computational analysis of a numerical example,the minimum resource intensity of each resources obtained by VEPSO-BP is reduced by 22.3%,10.1% and 23.7% respectively compared to VEPSO, which validates the feasibility and the effectiveness of the VEPSO-BP in the multiple resources leveling optimization.