基于遗传算法和仿真技术的仓库布局优化

C. Pan, Shaozheng Yu, Xiaojing Du
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引用次数: 3

摘要

为了改进仓库布局规划,在传统系统布局规划(SLP)方法的基础上,建立了数学模型和仿真模型。针对仿真计算效率较低的问题,本文提出了一种基于遗传算法和仿真方法的两阶段优化方法。最后,通过案例分析,提出了合理的仓库布局规划。结果表明,两阶段优化方法避免了传统SLP方法中存在的人为因素的干扰,并结合数学模型和仿真模型的优势,可以得到更完整、更合乎逻辑的布局规划。在一定时间内得到满意的解,保证了计算的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of warehouse layout based on genetic algorithm and simulation technique
In order to improve the layout planning in warehouse, mathematical model and simulation model are built on the basis of traditional system layout planning (SLP) method. Because of the low efficiency of simulation calculation, this paper proposes a two-stage optimization method based on genetic algorithm and simulation method. Finally, this paper proposes reasonable layout planning of warehouse in the case study. According to the results, the two-stage optimization method avoids the interference of human factors that exists in the traditional SLP method, and with the advantages of mathematical model and simulation model, it can get more integrated and more logical layout planning. The satisfactory solution which is got in a certain time guarantees the efficiency of calculation.
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