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. (Source: http://freecode.com/)

References in zbMATH (referenced in 2 articles )

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  1. Parejo, José Antonio; Ruiz-Cortés, Antonio; Lozano, Sebastián; Fernandez, Pablo: Metaheuristic optimization frameworks: a survey and benchmarking (2012) ioport
  2. Lau, Henry Y. K.; Tsang, Wilburn W. P.: A parallel immune optimization algorithm for numeric function optimization (2008) ioport