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Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data - MaRDI portal

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Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data

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DOI10.5281/zenodo.6458266Zenodo6458266MaRDI QIDQ6690557

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 13 April 2022

Copyright license: No records found.



Description

This repository contains the code and data for reproducing the results in the paper Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features The file figure_generation.ipnb contains the code used to create the heatmaps shown in the paper. The file Raw_data contains the raw performance data, for both running A1 and recording all relevant features and for running the switching algorithms for each of the 6 algorithms in the portfolio while recording only performance. The processed version of the A2 data into relative performance is available in perf_relative. The file data-collection contains the code used to run the switching algorithms with the used warmstarting procedures. The file compute_features.ipnyb contains the code used to extract the timeseries features, and those features themselves are included in TS_Features. The file AlgorithmSelector contains the scripts and data used to create the algorithm selector. The files selector_5_as_f and selector_ng_f contain the results of running the final models on the test-instances and nevergrad functions respectively.






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