【作者】 周泓； 方卫国；

【Author】 Zhou Hong(Management School,Beijing University of Aeronautics and Astronautics Beijing 100083)Fang Weiguo(Institute of Airplane Design,Beijing University of Aeronautics and Astronautics Beijing 100083)

【机构】 北京航空航天大学管理学院飞机设计研究所；

【摘要】 文中将遗传算法与系统仿真技术相结合,提出了一种求解具有随机参量的Flow-Shop排序问题的有效方法,并对现有的遗传算子进行了改进。通过算例分析表明,该方法具有建模简便、求解性能好、收敛快等特点,具有较大的实用价值。更多还原

【Abstract】 A new approach for solving flow-shop sequencing problems with stochastic parameters is proposed in this paper,based on the genetic algorithm (GA) with improved genetic operators and systems simulation. By the analysis of an example,the method is proved to be easy to model,and effective and efficient both in computation and covergence,hence is very practical in comprehensive fields.更多还原