基于单亲遗传算法的拣选作业优化研究

Optimized research on order picking based on partheno-genetic algorithm

针对自动化立体仓库高存储、高速度、高效率的特点,对拣选作业的运行过程进行分析,建立了相应的拣选作业优化模型,并设计一种高效的单亲遗传算法用于求解。通过仿真验证,结果表明该算法具有很好的全局搜索能力,并能很好地兼顾优化时间和优化效果两个方面,满足实际作业运行要求,适合在实际工程中使用。

Concerning the characteristics of high-storage, high-speed and high-efficiency in Automated Storage and Retrieval System （AS/RS）, the running process of order picking was analyzed, the corresponding optimized model of order picking was established, and an efficient Partheno-Genetic Algorithm （PGA） was designed. Through simulation, the results show that the optimized design has good global searching capability, gives dual attention to the optimized time and the optimized effect, meets the actual operation requirement, and is suitable for actual projects.