HeuristicLib

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HeuristicLibBuild optimization algorithms in modern C#

Define a problem, configure an algorithm and inspect each search state.

Build your first optimizer
Browse examples

  • Typed configuration

    The compiler checks that problems, search spaces and operators use compatible candidate types.

  • Observable runs

    Stream search states or attach analyzers to collect quality, diversity and evaluation counts.

  • Reproducible experiments

    Record the random seed and repeat configurations across independent trials.

Start with a working run ​

The getting started guide builds and runs a genetic algorithm in a small console application. Read the guide for the available algorithms, representations and workflow or choose a complete task from the examples.

Developed by HEAL ​

Heuristic and Evolutionary Algorithms Laboratory

HeuristicLib is developed by the Heuristic and Evolutionary Algorithms Laboratory at the University of Applied Sciences Upper Austria.

Released under the MIT License.

Heuristic and Evolutionary Algorithms Laboratory