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Copy file name to clipboardExpand all lines: README.md
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[](http://isitmaintained.com/project/firefly-cpp/FireflyAlgorithm"Percentage of issues still open")
In the `fireflyalgorithm.problems` module, you can find the implementations of 33 popular optimization test problems. Additionally, the module provides a utility function, `get_problem`, that allows you to retrieve a specific optimization problem function by providing its name as a string:
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rosenbrock = get_problem('rosenbrock')
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```
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For more information about the implemented test functions, [click here](Problems.md)
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For more information about the implemented test functions, [click here](Problems.md).
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### Command line interface
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### Command line interface 🖥️
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The package also comes with a simple command line interface which allows you to evaluate the algorithm on several
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popular test functions
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The package also comes with a simple command line interface which allows you to evaluate the algorithm on several popular test functions. 🔬
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```shell
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firefly-algorithm -h
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--seed SEED Seed for the random number generator
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```
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**Note:** The CLI script can also run as a python module (python -m niaarm ...)
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**Note:** The CLI script can also run as a python module (python -m niaarm ...).
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## Reference Papers:
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## Reference Papers 📚
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I. Fister Jr., X.-S. Yang, I. Fister, J. Brest. [Memetic firefly algorithm for combinatorial optimization](http://www.iztok-jr-fister.eu/static/publications/44.pdf) in Bioinspired Optimization Methods and their Applications (BIOMA 2012), B. Filipic and J.Silc, Eds.
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