膨胀控制对转移规则的影响 通过遗传编程自动设计的转移规则
Tena Škalec1, Marko Đurasević1
1Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia.
Biomimetics (Basel, Switzerland)
|January 27, 2026
概括
基因编程自动为港口创建集装箱搬迁规则. 应用复杂性控制,如节压力减少规则大小与最小的性能损失,增强人类规划人员的可解释性.
科学领域:
- 运营研究 运营研究
- 人工智能的人工智能
- 海上物流的海上物流
背景情况:
- 集装箱搬迁问题 (CRP) 对于优化海运码头吞吐量至关重要.
- 转移规则 (RRs) 为CRP提供了基于规则的快速解决方案,特别是在动态环境中.
- 手动的RR设计是耗时且特定于问题的.
研究的目的:
- 通过使用遗传编程 (GP) 来研究控制自动生成RR复杂性的方法.
- 分析低压和溶液修剪对RR质量和尺寸的影响.
- 为了提高GP演变的RRs的可解释性,用于运营用途.
主要方法:
- 利用遗传编程 (GP) 来自动生成容器迁移问题 (CRP) 的迁移规则 (RR).
- 实施和评估的复杂性控制机制:温和的压力和溶液修剪.
- 评估了规则大小 (复杂性) 和性能 (搬迁集装箱数量) 之间的权衡.
主要成果:
- 总医生成功地开发出了可以超越手工设计规则的RR.
- 复杂性控制机制显著减少了GP生成的RRs的大小.
- 规则大小的减少只能在溶液性能中轻微降低.
结论:
- 节的压力和溶液修剪有效控制RR复杂性,导致更简单,更易于解释的规则.
- 在GP演变的RR中,在启发式简单性和解决方案质量之间存在有利的权衡.
- 更简单,更易于解释的RR提高了人类规划人员在运营环境中的信任和可用性.
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