Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, Robustness, Fitness approximation, and Time-Varying function. In research on Time-Varying function, the tracking property over changes of fitness landscape has been broadly and deeply researched so far. In this paper, instead of tracking new peaks, robust solution to Time-Varying functions is introduced. Moreover, two weighted fitness functions, Exponential Weight and Linear Weight, are proposed. Experiments on modified Branke's benchmark problems on Time-Varying function reveal the effectiveness of the weighted approaches.
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