基于GA的机械停车库存取车路径优化

为使目前机械式停车库得到更加合理的存取车路径以提高作业效率,开展了对存取车耗时和车位重心影响因素的分析,以存取车路径耗时最短和车位重心最低为目标建立了数学模型,并利用遗传算法迭代思想对数学关系式进行了求解.研究结果表明,该求解具有较好的收敛性和计算效率,优化后的车位存取车编号矩阵与只考虑存取车时间耗时最短的车位存取车编号矩阵有了明显的变化；验证了大型车库作业效率提升不仅与车库本身结构有关,还与存取车重量等因素有关；同时,该求解对设计合理的车库运行方案具有一定的参考价值.

Optimization for path to access vehicle of mechanical garage based on genetic algorithms

In order to take mechanical parking garage get more reasonable vehicle access path to improving operational efficiency, after the analysis of the main influence factors of the path to access vehicle for the taking minimization of time to access vehicle and lowest center of gravity, the mathematical model of the optimum sequencing path to access vehicle and lowest center of gravity as the objective function was established. A method of the genetic algorithms was presented to the optimization of sequencing path to access vehicle. The results indicate that there are better convergence and calculation efficiency, and there are obvious changes compared with the number matrix of the optimized vehicle access and the number matrix of the considered only the vehicle access time. The large garage operational efficiency is tested, not only with the structure of the garage, also with access to vehicle weight. The result is of certain having reference value for designing of reasonable operation plans for the mechanical garage.