10 citations · 15 across the 4 of their papers we have counts for
4 papers
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
Zhenwei Wang, Ruibin Bai, Fazlullah Khan +2
Learning-based methods have become increasingly popular for solving vehicle routing problems due to their near-optimal performance and fast inference speed. Among them, the combina…
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
Heda Song, Mercedes Torres Torres, Ender Özcan +1
Few-shot learning focuses on learning a new visual concept with very limited labelled examples. A successful approach to tackle this problem is to compare the similarity between ex…
Scope for Machine Learning in Digital Manufacturing
Martin Baumers, Ender Ozcan
This provocation paper provides an overview of the underlying optimisation problem in the emerging field of Digital Manufacturing. Initially, this paper discusses how the notion of…
Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem
Shahriar Asta, Daniel Karapetyan, Ahmed Kheiri +2
Multi-mode resource and precedence-constrained project scheduling is a well-known challenging real-world optimisation problem. An important variant of the problem requires scheduli…