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PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii.
See NEWEST version v5 on GitHub and PIP.
Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).
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MIT License, GNU Library or Lesser General Public License version 3.0 (LGPLv3)Follow PyOptFrame-LEGACY
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User Reviews
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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 ;)