Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data

Hybrid computational intelligent systems that synergize learning-based inference models and route planning strategies have thrived in recent years. In this article, we focus on the non-monotonicity originated from heterogeneous urban data, as well as heuristics based on neural networks, and thereaft...

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Veröffentlicht in:	ACM transactions on intelligent systems and technology 2022-06, Vol.13 (3), p.1-25
Hauptverfasser:	Lin, Fandel, Hsieh, Hsun-Ping
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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