Improved adaptive weight approach GA based rolling schedules multi-objective optimization of tandem cold rolling
基于改进权重自适应GA的冷连轧轧制规程多目标优化

To select correct weighting factors for the weight-sum multi-objective method, we propose an improved adaptive weight-selection approach. On the basis of the genetic algorithm(GA), this approach is applied to optimize the multi-objective rolling schedules in a tandem cold rolling. In the optimization process of rolling schedules, the power distribution, the rolling energy consumption and the slip rate are selected as objective functions from them the multiobjective model of rolling schedules is established. Applying the improved adaptive weight approach GA to optimize rolling schedules for strips with different specifications, we reduce the values of the above three objective functions simultaneously, in comparison with the conventional rolling schedules. It also provides better pertinence and faster convergence for objects of higher priority than those of the adaptive weight approach GA.