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中文摘要：
针对传统缓冲算子不能实现作用强度的微调，从而导致缓冲作用效果过强或过弱的问题，构造了几何变权弱化缓冲算子（VWGW BO）和几何变权强化缓冲算子（VWGSBO），研究了该类缓冲算子调节度与可变权重之间的关系，并利用遗传算法探讨该类缓冲算子的优化问题。结果表明，该类缓冲算子对序列的调节度与可变权重同方向变化，在控制作用强度方面的灵活性要明显优于传统缓冲算子。最后，以我国能源消费总量的预测问题为例验证了几何变权缓冲算子的有效性与优越性。
英文摘要：
Traditonal buffer operators can not realize fine tuning of effect intensity, which leads to problems that the effectiveness of buffer action may be too strong or too weak. Considering this situation,this paper respectively construct geometry weakening buffer operators with variable weights and geometry strengthening ones, and defines the relationship between the regulation degree of buffer operators and their variable weights. Furthermore, we further discuss the optimization of this kind of buffer operators by means of genetic algorithm. The results show that, variable weights are similar to higher-order effect operator in function, while their flexibility in strength controlling of buffer operators are much better than that of higher-order buffer operators. Finally, the validity and the superiority of the buffer operators with variable weights are validated through their qpplication to forecasting Chinese energy consumption amount.
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