Improving CMA-ES Algorithm With Adaptive Learning Rate
CMA-ES Optimizer improved with adaptive learning rate for faster convergence & better solutions on black-box optimization problems.
This is a Plain English Papers summary of a research paper called CMA-ES Optimizer with Adaptive Learning Rate for Faster Convergence. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview The paper proposes a modification to the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm to improve its performance on black-box optimization problems. The key idea is to adapt the learning rate of the algorithm during the optimization process to improve its convergence speed and final solution quality. Experiments show that the propo...