A Java workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more.
- Explore the behaviours of classical and state-of-the-art optimization algorithms.
- Experiment with algorithms against bechmark problems using powerful statistical tools.
- Play with parameters, graph performance, and learn about computational intelligence.
Follow Optimization Algorithm Toolkit (OAT)
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awesome algorithms package and experimentation platform