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Optimization Algorithm Toolkit is a workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains. It includes reference algorithm implementations, graphing, visualizations, and much more.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
Sorted by year (- Parejo, José Antonio; Ruiz-Cortés, Antonio; Lozano, Sebastián; Fernandez, Pablo: Metaheuristic optimization frameworks: a survey and benchmarking (2012) ioport
- Lau, Henry Y. K.; Tsang, Wilburn W. P.: A parallel immune optimization algorithm for numeric function optimization (2008) ioport