November 14, 2018Open Access
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
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Implication
Survey highlights machine learning applications in optimizing complex decision-making processes.
Key Points
- This paper aims to explore the integration of machine learning techniques with combinatorial optimization to enhance decision-making.
- Survey of recent developments from machine learning and operations research.
- Discussion of algorithms that utilize handcrafted heuristics for combinatorial optimization.
- Proposes a methodology viewing optimization problems as data points for machine learning.
- Identifies potential for improved decision-making in combinatorial optimization using machine learning.
- Highlights the need for a relevant distribution of problems for effective learning.
Cite This Study
Bengio et al. (2018) studied this question.