Learning feature embedding refiner for solving vehicle routing problems

• المؤلفون الرئيسيون: Li, Jingwen, Ma, Yining, Cao, Zhiguang, Wu, Yaoxin, Song, Wen, Zhang, Jie, Chee, Yeow Meng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Encoder–decoder Structure; Neural Combinatorial Optimization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171804
• المؤسسة: Nanyang Technological University

While the encoder-decoder structure is widely used in the recent neural construction methods for learning to solve vehicle routing problems (VRPs), they are less effective in searching solutions due to deterministic feature embeddings and deterministic probability distributions. In this article, we...