Shape variation exploration by libcmaes?

CMA-ES / libcmaes

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

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Shape variation exploration by libcmaes? #208

Open chatyan opened 4 years ago

chatyan commented 4 years ago

I have seen the libcmaes, which is a good contribution. I am wondering if this library can be applied for real application. For example the task of modeling a 3D model, based on genetic algorithm to find the best "fit" one with repect to a certain requirement.

I am not I am in the right direction, because I am lack of knowledge of GA and cma-es. So could you kindly give me some advise on this topic.

beniz commented 4 years ago

Yes, maybe look at the main CMA-ES R&D page with tutorials, applications, etc. http://cma.gforge.inria.fr/