A Dual-Population Constrained Multi-Objective Evolutionary Algorithm with Success Incentive Mechanism and its application to uncertain multimodal transportation problems

The evolution of the transportation industry has heightened the focus on environmentally sustainable multimodal transport, particularly in addressing carbon emissions. In modern logistics, path planning under uncertainty has become a pivotal research area. This paper proposes a multi-objective, mult...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 162; S. 112586
Hauptverfasser:	Yang, Zhe, Deng, Libao, Di, Yuanzhu, Li, Chunlei, Qin, Yifan, Zhang, Lili
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 26.12.2025
Schlagworte:	Constrained Multi-Objective Evolutionary Algorithms Constrained Multi-Objective Optimization Problems Constraint handling techniques Multimodal transportation Multimodal transportation Constrained Multi-Objective Evolutionary Algorithms Constrained Multi-Objective Optimization Problems Constraint handling techniques
ISSN:	0952-1976
Online-Zugang:	Volltext
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