The Air Traffic Control (ATC) decision updates along with the convective weather conditions in real time. In the absence of decision-making support tools, the different rerouting preferences of the pilots deepen the controller workload in convective weather. In response to the convective weather covering the planned route in tactical stage, the Weather Avoidance Field (WAF) product considering the pilot's actual flight preference was used to accurately reflect the impact of convective weather during actual flight. Based on the continuously updated Weather Avoidance Field products, a multi-objective integer programming model was established and a genetic algorithm based on linear combination weighting was designed. Taking the city-pair -- Guangzhou Baiyun to Shanghai Hongqiao-- as an example, this study finds out that the generated diversion route completely avoids the actual continuously updated convective weather, which can be used for the decision support of the controller in the tactical stage.