pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm. HS is a metaheuristic search algorithm that, similar to simulated annealing, tabu, and evolutionary searches, is based on real world phenomena. Specifically, HS mimics a jazz band improvising together. Courtesy Wikipedia:
In the HS algorithm, each musician (= decision variable) plays (= generates) a note (= a value) for finding a best harmony (= global optimum) all together.
pyHarmonySearch supports both continuous and discrete variables and can take advantage of parallel processing using Python’s built-in multiprocessing module.
For more information on pyHarmonySearch, visit the GitHub project page.
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Release files for pyHarmonySearch 1.4.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pyHarmonySearch-1.4.4.tar.gz | 11.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| pyHarmonySearch-1.4.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / pyHarmonySearch-1.4.4.tar.gz
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| Size | 11.3 kB |
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Release files / pyHarmonySearch-1.4.4-py3-none-any.whl
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| Size | 11.8 kB |
| Tags | Python 3 |
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