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Everything about Combinatorial optimization

Subfield of mathematical optimization

Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the set of feasible solutions is discrete or can be reduced to a discrete set. Typical combinatorial optimization problems are the travelling salesman problem ("TSP"), the minimum spanning tree problem ("MST"), and the knapsack problem. In many such problems, such as the ones previously mentioned, exhaustive search is not tractable, and so specialized algorithms that quickly rule out large parts of the search space or approximation algorithms must be resorted to instead. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Combinatorial optimizationA 5-minute orientation
  2. Skim a recent paper: Ising machines as hardware solvers of combinatorial optimization problemsInfluential work since 2022
  3. Pick up a classic book: Combinatorial theoryThe most-reprinted book on the subject
  4. Read the landmark paper: Metaheuristics in combinatorial optimizationCited 2,852 times
  5. Go sideways: Approximation algorithmA closely related topic
  6. Go sideways: APXA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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