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重大件运输的货物分配与航速联合优化

李晓君 谢新连

李晓君, 谢新连. 重大件运输的货物分配与航速联合优化[J]. 西南交通大学学报, 2015, 28(4): 747-754. doi: 10.3969/j.issn.0258-2724.2015.04.026
引用本文: 李晓君, 谢新连. 重大件运输的货物分配与航速联合优化[J]. 西南交通大学学报, 2015, 28(4): 747-754. doi: 10.3969/j.issn.0258-2724.2015.04.026
LI Xiaojun, XIE Xinlian. Integrated Optimization of Cargo Distribution and Ship Speed for Heavy-Cargo Transportation[J]. Journal of Southwest Jiaotong University, 2015, 28(4): 747-754. doi: 10.3969/j.issn.0258-2724.2015.04.026
Citation: LI Xiaojun, XIE Xinlian. Integrated Optimization of Cargo Distribution and Ship Speed for Heavy-Cargo Transportation[J]. Journal of Southwest Jiaotong University, 2015, 28(4): 747-754. doi: 10.3969/j.issn.0258-2724.2015.04.026

重大件运输的货物分配与航速联合优化

doi: 10.3969/j.issn.0258-2724.2015.04.026
基金项目: 

中央高校基本科研业务费专项资金资助项目(3132013320)

高等学校博士学科点专项科研基金资助项目 (20102125110002)

详细信息
    作者简介:

    李晓君(1988-),男,博士研究生,研究方向为重大件的运输问题,电话:13624081024,E-mail:lixiaojun709@126.com

Integrated Optimization of Cargo Distribution and Ship Speed for Heavy-Cargo Transportation

  • 摘要: 为了研究半潜船运输过程中满载与空载燃油消耗不同对重大件货物运输和最优航速的影响,建立了货物分配与航速联合优化模型,并改进了递归平滑算法RSA(recursive smoothing algorithm),基于插入法和改进的递归平滑算法IRSA(improved recursive smoothing algorithm),提出了全局搜索算法求解该模型.用插入法解决货物分配问题,用IRSA求解满载和空载的最优航速.算法应用结果表明:与RSA相比,运用全局搜索算法使运输成本降低了240.3万元;与划分为6和9个时间段的离散到达时间方法相比,运用全局搜索算法计算时间分别缩短了71.1和767.3 s.

     

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出版历程
  • 收稿日期:  2014-11-09
  • 刊出日期:  2015-08-25

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