The Optimization Configuration of Cigarettes Sorting Replenishment Workers Based on Genetic Algorithm

The paper studies three evaluation indicator indicators of the cigarette automatic sorting system of replenishment balancing: the number of replenishment workers, the replenishment quantity of each worker, the number of cigarette varieties which is replenished by every replenishment workers. And then it builds the optimizing model of cigarettes sorting replenishment workers. Genetic algorithm (GA) is put forward to solve the optimizing configuration problem of cigarettes sorting replenishment workers, and it also designs the choice strategy and a special crossover and mutation operators. It is constructed based on sequences cigarette varieties. It has some features such as the high efficiency and full search. Finally, the article introduces a cigarettes distribution center, and it realizes the sorting replenishment balancing of the cigarettes distribution center by the genetic algorithm.