带时间窗和货物权重的车辆路径问题的研究

提出了带货物权重及时间窗的车辆路径问题在车辆数不确定条件下的一个新的求解算法.通过利用轮盘赌选择策略,既能使最优个体进入下一代,又避免了个体之间因为适应度不同而被选择进入下一代的机会相差很大,从而保证了下一代的多样性并提高了算法的收敛速度.选用cx交叉算子有效避开遗传算法的"早熟收敛",同时对路径划分算法进行优化,从而达到VRPTWW车辆数与路径双重优化.数值实验结果表明,此算法可以有效求得车辆路径问题的优化解或近似优化解,是求解车辆路径问题的一个较好的方案.

INVESTIGATE VRP PROBLEM WITH TIME WINDOW CONSTRAINTS AND MERCHANDISE WEIGHT COEFFICIENTS

This paper proposed a new genetic algorithm for solving vehicle routing problem with time window and weight under the uncertain vehicle number.Using the roulette wheel strategy the optimal individual can be selected into next generation.The phenomenon,which is there are significant differences between the opportunity to individuals selected into next generation according to their fitness,is also escaped.As a result,the next generation is more diversity and convergence rate is improved.The premature converge...