moptipy (pypi): A package for metaheuristic optimization in Python.
Keywords: algorithm performance evaluation|BGFS|BOBYQA|continuous optimization|crossover|DE|Differential Evolution|discrete optimization|EA|ECDF|Empirical Cumulative Distribution Function|ERT|Evolutionary Algorithm|Evolutionary Computation|Expected Running Time|experiments|Frequency Fitness Assignment|Hill Climber|Job Shop Scheduling Problem|JSSP|metaheuristics|Memetic Algorithm|multi-objective optimization|mutation|NSGA-II|optimization|operations research|performance plots|permutations|Plant Propagation Algorithm|PPA|Random Sampling|Random Walk|Randomized Local Search|RLS|Simulated Annealing|single-objective optimization|statistics|evolutionary-algorithms|evolutionary-computation|experimentation|genetic-algorithm|heuristic-optimization|hill-climbing|memetic-algorithms|optimization-algorithms|python|random-walk|randomized-local-search|replicability|simulated-annealing