awesome-fm4co and awesome-ml4co
About awesome-fm4co
ai4co/awesome-fm4co
Recent research papers about Foundation Models for Combinatorial Optimization
This is a curated collection of research papers that explore how Foundation Models, especially Large Language Models (LLMs), can be used to solve complex combinatorial optimization problems. It helps researchers and practitioners understand the latest advancements in using AI to find optimal solutions or improve existing algorithms for tasks like supply chain planning or vehicle routing. The collection categorizes papers based on whether they use existing LLMs or build domain-specific Foundation Models.
About awesome-ml4co
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
This resource is a curated list of academic papers that explore how machine learning can be applied to solve complex combinatorial optimization problems. It takes research on various optimization challenges like vehicle routing, scheduling, or resource allocation, and provides references to papers using machine learning techniques. Operations researchers, industrial engineers, and data scientists seeking advanced methods to optimize real-world processes would find this valuable.
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