Dietmar Wolz

This is also a problem with your benchmarks. May be the other algorithms are also affected, but I am mainly interested in HHO since it seems to have the best...

Tried a workaround: Using 'memorise_fluid_properties=False' in the network config ``` class PowerPlant(): def __init__(self): self.nw = Network( fluids=['BICUBIC::water'], p_unit='bar', T_unit='C', h_unit='kJ / kg', iterinfo=False, memorise_fluid_properties=False) ``` solved the problem not...

Now I have uploded a python script to actually reproduce the issue: Execute https://github.com/dietmarwo/fast-cma-es/blob/master/examples/powerplant.py after commenting out https://github.com/dietmarwo/fast-cma-es/blob/61335c0278a7fcd9f241caedd5e7c003c01a987b/examples/powerplant.py#L260 which recreates the model in case of an error. See the corresponding...

Hi Francesco, in fact I finally got the parallelism working (by using thread local models). I described the remaining issue here https://github.com/dietmarwo/fast-cma-es/blob/master/tutorials/PowerPlant.adoc Sometimes the model gets corrupted - even single...

Updated solutions to compare all three solar orbiter models are at https://gist.github.com/dietmarwo/86f24e1b9a702e18615b767e226e883f solodsmtest.py - for pykep.trajopt.gym._solar_orbiter._solar_orbiter_udp_1dsm solotest.py - for pykep.trajopt.gym._solar_orbiter._solar_orbiter_udp solomgartest.py - for pykep.trajopt.gym._solar_orbiter._solo_mgar_udp

Unfortunately not, currently I am using only one GPU. What I did was specific to my environment. Would be nice if the enhanced documentation would be more generic / complete...

Thanks for the information. > We will show some documentation for performance in near future. Looking forward to that. At https://github.com/dietmarwo/fast-cma-es/blob/master/tutorials/Quant.adoc#vqe-variational-quantum-eigensolver I wrote something about configuring parallelization of optimization of...

Very interesting work. Maybe I will integrate something similar in my own CMA implementation. Differential Evolution suffers from a similar issue, which I already fixed (see below). BiteOpt seems to...

Thanks for the detailed answer. For now I decided to use only SSE2 for the public version and compile an AVX version only for personal use. Perfomance of random number...

Not sure whether ML hyperperameter tuning is optimial here. In ML we usually use dedicated hardware (TPUs/GPUs) which blocks parallel evaluation of hyperparameter settings. ALNS is often applied to objective...