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Project Summary

Open Metaheuristic (oMetah) is a library aimed at the conception of metaheuristics (i.e. genetic/evolutionnary algorithms, tabu search, simulated annealing, ant colony algorithms, etc.). It follows the "adaptive learning search" approach in the design of metaheuristics (an approach inspired from the "adaptive memory programming").

One of the main goal of oMetah is to permit rigourous empirical tests of metaheuristics, through a statistical approach.

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In a Nutshell, Open Metaheuristics...

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Languages

Languages?height=75&width=75
C++
67%
shell script
14%
Python
15%
5 Other
4%

30 Day Summary

Jun 25 2016 — Jul 25 2016

12 Month Summary

Jul 25 2015 — Jul 25 2016

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