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User Reviews

  • Simple to use classic metaheuristics such as simulated annealing, and multi-objective nsga-ii on Python, with C++ performance! OptFrame C++ is stable and highly supported since 2009, latest update on 2022 with C++20 features, making Python bindings quite stable and fast! Many examples to classic combinatorial optimization problems, such as Traveling Salesman Problem, Knapsack Problem, Vehicle Routing Problem, Puzzle Optimization and others. Just try it! "pip install optframe" and have fun! Disclaimer: I'm the main author of pyoptframe ;)
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