基于三阶段法的VRP求解研究
Research on logistics vehicle routing problem based on three-phase approach
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摘要: 提出了基于三阶段法的VRP求解方法,将Floyd算法、节约法、遗传算法融合于求解过程中,使用Floyd算法求解各点对间的最短路径,使用节约法进行回路扩充,使用遗传算法寻求最优方案,克服了遗传算法早收敛和搜索效率低的问题.实验结果表明本算法具有较好的应用价值.Abstract: The algorithm based on three-phase approach to solve the logistics vehicle routing problem(VPR) was proposed, in which three kinds of technologies-Floyd algorithm, saving method and genetic algorithm-were fused. The algorithm overcame the shortcomings of premature convergence and low efficiency of the genetic algorithm by using floyd algorithm to solve all-pairs shortest-path problem, using saving method for loop expansion, and using genetic algorithm to find the optimal solution. The experimental results showed that the algorithm had preferable application value on VPR.
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