整车物流双层轿运车车辆装载与路径整合优化研究

根据启发式算法思想,建立了双层轿运车的车辆配载和路径优化的双层规划模型。在路径优化的求解中融入一定的启发式搜索规则,设计了一种求解该双层规划模型的混合遗传算法,并给出了算法的编码方法、路径搜索方法和适应度函数的定义。案例分析表明,当乘用车种数不超过3种时,采用LINGO商业优化软件能在1 min内求出最优解;超过3种时求解时间呈指数增长。采用本文设计的混合遗传算法,能在较快时间内求出最优解,此模型和算法对编制大规模下的乘用车装载和配送计划具有较强的适用性和可行性。

Research on integrated optimization of double stack car carriersbased vehicle loading and routing problems in vehicle logistics

Based on the heuristic algorithm, a double-decker programming model was established, in which both routing and filling problems of the double stack car carriers were considered. A hybrid genetic algorithm was proposed for solving double decker programming model and a heuristic search principle was integrated in this algorithm to get the optimized routing. The coding method, routing search method and the dual fitness function were also defined. Finally, the empirical example reveal that when the number of type of cars what to be loaded is less than 3, LINGO software can be used to obtain the optimal solution within 1 minute. However, the solution time may be increased exponentially when the number is 3 or more. Using the hybrid genetic algorithm designed in this paper can get the optimal solution in a short time, which can prove the effectiveness and practicability of this model and algorithm in loading and distribution planning of passenger cars on large scales.