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
May 17, 2024 - Python