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

ZHANG Wei-zhong1， YU Wen-guang2， ZHANG Wei-she3
（1. Department of Electrical Engineering， Zhejiang Institute of Mechanical and Electrical Engineering，
 Hangzhou 310053，China；  2. Zhejiang SUPCON Co. Ltd.，Hangzhou 310053， China；
3. Department of Construction Machinery，Chang'an University，Xi'an 710064，China）

Abstract： 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.
Key words： mechanical garage； path optimization； genetic algorithms（GA）