GeminiLight/ml4co-survey
A survey on machine learning for combinatorial optimization.
This survey helps researchers and practitioners understand the landscape of machine learning applied to combinatorial optimization problems. It organizes recent academic papers by the methods they use and the specific problems they address, such as the Traveling Salesman Problem or Job Shop Scheduling. Anyone working on complex optimization challenges who wants to explore machine learning solutions would find this valuable.
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Use this if you are a researcher or practitioner looking for a curated overview of how machine learning techniques are being applied to solve complex combinatorial optimization problems.
Not ideal if you are looking for a tutorial on implementing specific machine learning algorithms or a deep dive into the mathematical proofs behind the methods.
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MIT
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Last pushed
Dec 27, 2021
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