Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
python optimization genetic-algorithm evolutionary-algorithms experimentation simulated-annealing hill-climbing evolutionary-computation memetic-algorithms optimization-algorithms random-walk metaheuristics heuristic-optimization replicability randomized-local-search
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Updated
Nov 15, 2024 - Python