Option for Running multiple generations

Hi John, Thanks a lot for such awesome plugin !!! Great user interactivity and interface which lacked in octopus/Galapagos. It would be helpful if u can add an option for multiple generations and convergence graph. Additionally marking the fittest of each criteria in design and history panel with its respective color code would be great.

Replies to This Discussion

Permalink Reply by John Harding on December 9, 2017 at 4:22

Hi Mihir,

Thanks for your kind words and feedback. I've now integrated multiple generations and will be in the next release, should be very soon!

Convergence graph has been on the cards and working on that one. Good to hear it will be of use though.

In terms of colours for identifying best of a population in the history tree, that's a great idea- thanks! I will definitely implement.

Actually, on the history tree I've been wondering whether to show all 12 cluster centroids or not for artificial selection as well, but not sure... what do you think? Or else for both artificial and performance only show the optimal in the history tree? Anyway, do let me know and thanks again.

Best wishes,

John

Permalink Reply by Mihir Vasani on December 14, 2017 at 12:55

Hi Jhon,

In case of Artificial selection, I think its good idea to show all 12 cluster centroids to compare the individual of the different generation and marking selected one. Even user can reinstate a particular generation and modify their selection to get the preferential outcome.

how to figure out cluster centroids from cluster output(biomorpher component)? maybe the first individual in cluster list can become its centroid(something like sorting).

I like the biomorpherreader component. Is it possible to reinstate particular generation(12 cluster centroids) by clicking it?

I am using this for my thesis project to derive urban morphology. Would share it with you once I am done.

Regards,

Mihir

Permalink Reply by Michael Dubby on August 11, 2025 at 13:11

When working with Color Measuring Devices, running multiple generations of measurements can be essential for achieving consistent and accurate results. Multiple generations refer to repeated testing cycles to refine calibration, validate accuracy, and ensure repeatable performance under various conditions. This approach is particularly valuable in industries like printing, textiles, and manufacturing, where color precision is critical. By running several generations, users can identify variations, improve device settings, and maintain long-term quality control. Modern color measurement technologies make it easier to manage and compare multiple data sets, ensuring every generation builds toward greater reliability and consistency in results.

RSS