研究一个模糊的编程模型和算法来分配泊位,考虑时间变化的水深
Di Liu1, Botang Li2, Mengchi Li3
1School of Sciences and Arts, Guangzhou Maritime University, Guangzhou, 510725, China.
Scientific reports
|March 7, 2026
概括
本研究引入了一种模糊的编程方法,用于有效地分配船舶泊位,考虑水深等不确定因素. 开发的模型最大限度地降低了总时间成本,并且在各种信任级别中稳定.
科学领域:
- 运营研究 运营研究
- 海上物流的海上物流
- 优化技术 优化技术
背景情况:
- 高效的港口运营对于全球贸易至关重要.
- 由于水深波动等不确定因素,泊位分配是复杂的.
- 现有的模型可能无法充分解决这些动态条件.
研究的目的:
- 在不确定性下开发一个高效的泊位分配模型.
- 为了尽量减少港口运营的总时间成本.
- 将波动的水深纳入泊位分配决策中.
主要方法:
- 采用了可信的模糊编程方法.
- 为泊位分配构建了一个线性整数编程模型.
- 设计和比较了两个启发式算法,即遗传算法 (GA) 和模拟化 (SA).
主要成果:
- 拟议的模糊编程模型和GA证明了可行性.
- 该模型有效地将总时间成本降到最低.
- 分析显示该模型的稳定性具有不同的信心水平,对分配计划的影响微不足道.
结论:
- 模糊编程方法为不确定的泊位分配提供了强大的解决方案.
- 开发的GA是解决这种优化问题的可行和有效方法.
- 该模型的稳定性确保了在动态港口环境中可靠的泊位分配计划.
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