I am experimenting with Pygmo and find it very convenient for setting up global optimization tasks. However, it would be great to have more CPU cores (>32) which I do not have on my computer. I would like to keep everything as cost efficient as possible and thought about using either an AWS spot instance or a preemptive VM instance on a google cloud instance. Because the instance can be shutdown at any time, I need some warm start capability. I found a archipelago::save function in the API but do not understand if this function can be used to save the state of the optimizer. Is it possible to warm start Pygmo/Pagmo2 ?
All objects in pagmo can be serialized, the archipelago too. In python via pickle / dill, in c++ using the boost::serialization library. The method you found, i.e.
archipelago::saveimplements the serialization of the object pagmo::archipelago following the API of the boost library.Something like this its the use of the serialization to restart the evolution. Note that
sscan also be written and read from file.