Network Flow Instance Generator

Generate a reproducible directed capacitated graph for network-flow experiments.

Description

Generate a reproducible directed capacitated graph for network-flow experiments.

Network Flow Instance Generator: Generate a reproducible directed capacitated graph for network-flow experiments.

When to use Network Flow Instance Generator

Use this generator to create a reproducible identifier or a controlled optimization instance for examples, benchmarks, solver tests, and algorithm comparisons.

Node count
Required integer input.
Edge probability
Required number input.
Minimum capacity
Required integer input.
Maximum capacity
Required integer input.
Seed
Required string input.

How Network Flow Instance Generator works

Generate a reproducible directed capacitated graph for network-flow experiments. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.1

Flow instance
The resulting flow instance returned as an object.

Limitations and assumptions

  • Generated instances reflect the chosen distribution, size, density, and seed; they may not resemble operational data or cover adversarial cases. A generated UUID's properties depend on its version and random source.
  • Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Alternative or Complementary approaches

Record the seed and parameters, test multiple distributions and edge cases, and include representative real-world instances when evaluating solver quality.

References

  1. Combinatorial optimization — Wikipedia contributors

  2. Flow network - Wikipedia

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