交通拥堵情况下的多温共配车辆路径优化
U492.7; 针对实际配送过程中,经常会出现由于交通事故、上下班高峰期以及交通限流等因素导致的交通拥堵情况,为保证多温共配路径优化结果能更符合实际情况,提出了一种基于交通拥堵的多温共配优化模型,相较于传统的多温共配的路径优化模型,该模型更符合实际的运输情况.由于路径优化问题属于NP难问题,故采用随机自适应遗传算法进行求解,求出在总成本最优的情况下使路径最短、总成本最少的最佳配送路径.通过对比遗传算法和用Cplex求解,发现两者结果接近,且算法更为快速,更加适合大规模求解.算例分析结果表明:考虑了拥堵情况的路径优化,相较于没有考虑拥堵情况的路径优化,运输成本下降了16.74％....
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| Published in | 江苏大学学报（自然科学版） Vol. 40; no. 2; pp. 152 - 158 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Chinese |
| Published |
上海海事大学 物流科学与工程研究院,上海,201306
01.03.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1671-7775 |
| DOI | 10.3969/j.issn.1671-7775.2019.02.005 |
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| Abstract | U492.7; 针对实际配送过程中,经常会出现由于交通事故、上下班高峰期以及交通限流等因素导致的交通拥堵情况,为保证多温共配路径优化结果能更符合实际情况,提出了一种基于交通拥堵的多温共配优化模型,相较于传统的多温共配的路径优化模型,该模型更符合实际的运输情况.由于路径优化问题属于NP难问题,故采用随机自适应遗传算法进行求解,求出在总成本最优的情况下使路径最短、总成本最少的最佳配送路径.通过对比遗传算法和用Cplex求解,发现两者结果接近,且算法更为快速,更加适合大规模求解.算例分析结果表明:考虑了拥堵情况的路径优化,相较于没有考虑拥堵情况的路径优化,运输成本下降了16.74％. |
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| AbstractList | U492.7; 针对实际配送过程中,经常会出现由于交通事故、上下班高峰期以及交通限流等因素导致的交通拥堵情况,为保证多温共配路径优化结果能更符合实际情况,提出了一种基于交通拥堵的多温共配优化模型,相较于传统的多温共配的路径优化模型,该模型更符合实际的运输情况.由于路径优化问题属于NP难问题,故采用随机自适应遗传算法进行求解,求出在总成本最优的情况下使路径最短、总成本最少的最佳配送路径.通过对比遗传算法和用Cplex求解,发现两者结果接近,且算法更为快速,更加适合大规模求解.算例分析结果表明:考虑了拥堵情况的路径优化,相较于没有考虑拥堵情况的路径优化,运输成本下降了16.74％. |
| Author | 陈淮莉 徐梅 |
| AuthorAffiliation | 上海海事大学 物流科学与工程研究院,上海,201306 |
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| Author_FL | XU Mei CHEN Huaili |
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| Author_xml | – sequence: 1 fullname: 徐梅 – sequence: 2 fullname: 陈淮莉 |
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| Keywords | 粒子群算法 多温共配 车辆路径优化 交通拥堵 软时间窗 |
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| Snippet | U492.7; 针对实际配送过程中,经常会出现由于交通事故、上下班高峰期以及交通限流等因素导致的交通拥堵情况,为保证多温共配路径优化结果能更符合实际情况,提出了一种基于交... |
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| Title | 交通拥堵情况下的多温共配车辆路径优化 |
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