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mlopez-ibanez
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>.
Maintained by Manuel López-Ibáñez. Last updated 29 days ago.
algorithm-configurationhyperparameter-tuningiraceoptimization-algorithms
97.7 match 63 stars 10.28 score 103 scripts 1 dependents
auto-optimization
iraceplot: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.
Maintained by Manuel López-Ibáñez. Last updated 1 months ago.
20.6 match 5 stars 5.70 score 7 scripts
fcampelo
MOEADr:Component-Wise MOEA/D Implementation
Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), <DOI:10.1109/TEVC.2007.892759>] for quick assembling and testing of new algorithmic components, as well as easy replication of published MOEA/D proposals. The full framework is documented in a paper published in the Journal of Statistical Software [<doi:10.18637/jss.v092.i06>].
Maintained by Felipe Campelo. Last updated 2 years ago.
moeadmultiobjective-optimization
4.3 match 20 stars 6.30 score 40 scripts