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Project Description

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.

Release History

Release History

1.3.3

This version

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1.3.2

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1.3.1

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1.3

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1.2

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1.1

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1.0.1

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1.0

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Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyHarmonySearch-1.3.3.tar.gz (9.9 kB) Copy SHA256 Checksum SHA256 Source Dec 6, 2015

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