A decentralised genetic algorithm with sub-objectives for the transit network design problem

doi:10.1016/j.cor.2025.107191

2025-07-15

PRE

Maarten Wens

Pieter Vansteenwegen

DOI：10.1016/j.cor.2025.107191

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摘要

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• 构建了一种面向公共交通的具有子目标的遗传算法（GASO）。 • GASO利用优质解的特征作为独立的子目标。 • GASO能够帮助决策者展示多个有前景的解决方案。 • GASO将TNDP的基准解提高了最高2%。 • 进一步研究表明，GASO在更复杂的案例研究中同样有效。

期刊

Computers and Operations Research

IF:

4.3

论文数:

6.5K

被引数:

1.8W

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