The goal of this experiment is to investigate which trends of control parameter setting provide the most promising results and which migration strategy performs best for the selected test functions. The selection of the test functions was affected by the period of the SOMA development. The original ...
Code reproducing the results is available at https://github.com/neuroai/Go- CLS_v2 Data analysis Analysis were performed using Matlab (R2019b) and Python 3. For manuscripts utilizing custom algorithms or software that are central to the research but not yet described in published literature, ...
Different basis functions are computed for each distinct value for each predictor, and the usual techniques for handling categorical variables are applied. Therefore, categorical variables (with class codes rather than continuous or ordered data values) can be accommodated by this algorithm without ...
Matplotlib, Seaborn, Numpy, and Squarify libraries from Python were used to compute and plot the results. 2.8. Regulog Analysis For the selection of source organisms, we used the last strong version of those organisms having strong regulatory networks, namely, Escherichia coli K-12 MG1655 (Aba...