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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30 Day SummaryJun 25 2016 — Jul 25 2016
12 Month SummaryJul 25 2015 — Jul 25 2016