irace - Iterated Racing for Automatic Algorithm Configuration
Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
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algorithm-configurationhyperparameter-tuningiraceoptimization-algorithms
10.84 score 75 stars 1 dependents 154 scripts 5.6k downloadsmoocore - Core Mathematical Functions for Multi-Objective Optimization
Fast implementations of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
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cmatlabmulti-objective-optimizationmultiobjectivemultiobjective-optimizationnumerical-optimizationoctavepython
8.37 score 53 stars 6 dependents 18 scripts 984 downloadseaf - Plots of the Empirical Attainment Function
Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
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eafeaf-differencesepsilonhypervolumeinverted-generational-distancemultiobjective-optimizationsummary-attainment-surfacesvisualizationgsl
5.63 score 18 stars 34 scripts 4.7k downloadsiraceplot - Plots for Visualizing the Data Produced by the 'irace' Package
Graphical visualization tools for analyzing the data produced by 'irace'. The 'iraceplot' package enables users to analyze the performance and the parameter space data sampled by the configuration during the search process. It provides a set of functions that generate different plots to visualize the configurations sampled during the execution of 'irace' and their performance. The functions just require the log file generated by 'irace' and, in some cases, they can be used with user-provided data.
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iraceparameter-tuning
5.00 score 5 stars 9 scripts 161 downloadsmooplot - Graphical Visualizations for Multi-Objective Optimization
Visualization of multi-dimensional data arising in multi-objective optimization, including plots of the empirical attainment function (EAF), M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>, and symmetric Vorob'ev expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
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3.18 score 3 stars 5 scripts 126 downloads