期刊文献+

分阶段改进大邻域搜索算法求解取送货车辆路径问题

下载PDF
导出
摘要 基于带时间窗的取送货路径优化问题的现实需求和大邻域搜索算法的研究发展趋势,依据实际情况构建带时间窗的末端混合取送货路径优化模型。根据模型特性提出一种分阶段求解算法进行求解。在基于随机订单序列的重新构建阶段,引入交叉、翻转、扰动算子以提高全局搜索能力。并在解码路径重新构建阶段,设计了子路径分解算子和交叉算子,破除了局部最优的情况。通过基准实例测试及实验对比分析,证明了该算法能够快速找到有效解,所设计的算子不仅能够跳出局部最优,还能加快收敛速度,进一步证实了所提算法在解决该问题模型方面的有效性和可行性。
作者 杨子越
机构地区 山东科技大学
出处 《中国水运(下半月)》 2024年第1期57-60,共4页
  • 相关文献

参考文献1

二级参考文献11

  • 1Dantzig G B, Ramser J H. The truck dispatching problem[J]. Management Science, 1959, 6(1): 80-91.
  • 2Rekiek B, Delchambre A, Saleh H A. Handicapped person transportation: An application of the grouping genetic algorithm[J]. Eng Appl Artif Intel, 2006, 19:511-520.
  • 3Fagerholt K, Christiansen M. A combined ship scheduling and allocation problem[J]. Journal Operation Research Society 2000, 51:834-842.
  • 4Li H, Lim A. A metaheuristic for the pickup and delivery problem with time windows[C]// 13th IEEE Inter- national Conference on Tools with Artificial Intelligence, IEEE Computer Society, Los Alamitos, CA, 2001: 333-340.
  • 5Pankratz G. A grouping genetic algorithm for the pickup and delivery problem with time windows[J]. Operation Research Spectrum, 2005, 27: 21-41.
  • 6Popken D A. Controlling order circuity in pickup and delivery problems[J]. Transport Research E-Log, 2006, 42: 431-443.
  • 7Bent R, Van Hentenryck P. A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows[J]. Compute Operation Research, 2006, 33: 875-893.
  • 8Savelsbergh M W P, Sol M. The general pickup and delivery problem[J]. Transportation Science, 1995, 29: 17-29.
  • 9Solomon M. Algorithms for the vehicle routing and scheduling problem with time window constraints[J]. Operations Research, 1987, 35(2): 254-265.
  • 10Holland J H. Adaptation in Natural and Artificial Systems An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence[M]. The University of Michigan Press, Ann, 1975.

共引文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部