all AI news
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
Feb. 28, 2024, 5:41 a.m. | Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
cs.LG updates on arXiv.org arxiv.org
Abstract: Vehicle routing problems (VRPs), which can be found in numerous real-world applications, have been an important research topic for several decades. Recently, the neural combinatorial optimization (NCO) approach that leverages a learning-based model to solve VRPs without manual algorithm design has gained substantial attention. However, current NCO methods typically require building one model for each routing problem, which significantly hinders their practical application for real-world industry problems with diverse attributes. In this work, we make …
abstract algorithm algorithm design applications arxiv attention cs.ai cs.lg current design found multi-task learning optimization research routing solve type world zero-shot
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Analyst
@ Alstom | Johannesburg, GT, ZA