Create Multi-Objectives Optimization Benchmarks for Deep Neural Networks.

[Deathn0t]

Similarly to ECP-Candle and PINNBench benchmarks some new benchmarks compatible with Multi-Objective Optimization (MOO) should be defined. They could be "extensions" of the already existing benchmark but compatible with MOO.

[Deathn0t]

I discovered 2 benchmarks related to MOO for Deep Neural Networks (AutoML):

• YAHPO
• JAHS-Bench-201 I created the corresponding folders in the lib/ directory with a link to the Github repository of these benchmarks in the README.md.

[thchang]

Thanks, I'll check this out when I'm done with the analytical test funcitons for #5