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A decentralised genetic algorithm with sub-objectives for the transit network design problem
DOI:10.1016/j.cor.2025.107191.png)
Abstract
En 中文
• A Genetic Algorithm with Sub-Objectives (GASO) for public transport is constructed. • GASO exploits features of good solutions as separate sub-objectives. • GASO can help decision makers showing several promising solutions. • GASO improves benchmark solutions for the TNDP up to 2%. • GASO is further shown to be effective on a more complex case study.
Journal
C
IF:
4.3
Papers:
6.5K
Citations:
1.8W
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