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kayuksel / torch-tsp-es

PyTorch-based TSP Solver on GPU with Fast Covariance Matrix Adaptation Evolutionary Strategy (Fast CMA-ES)
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Theoretical Exploration of Fast CMA-ES #1

Open moonlioght opened 1 year ago

moonlioght commented 1 year ago

Hello, may I bother you, I would like to ask if there are any literature references for the specific theory of your Fast CMA-ES code. If possible, I would like to read the corresponding papers for a deeper understanding. In addition, what is the difference between your Fast CMA-ES and the classic CMA-ES algorithm?

kayuksel commented 1 year ago

Please check the following paper for theoretical explanation. There is also a MATLAB code in its Appendix section.

https://arxiv.org/abs/1604.00772

moonlioght commented 1 year ago

okay, thank you!

moonlioght commented 1 year ago

Sorry, can I ask again, why is your code called Fast CMA-ES? I think it is basically implemented according to the process of CMA-ES.