Nov 1, 2015 · The LM-CMA is a stochastic derivative-free algorithm for numerical optimization of non-linear, non-convex optimization problems. Inspired by the ...
Mar 1, 2017 · LM-CMA is a stochastic derivative-free algorithm for numerical optimization of nonlinear, nonconvex optimization problems. Inspired by L-BFGS, ...
The LM-CMA is a stochastic derivative-free algorithm for numerical optimization of non-linear, non-convex optimization problems.
Oct 22, 2024 · The LM-CMA is a stochastic derivative-free algorithm for numerical optimization of non-linear, non-convex optimization problems. Inspired by the ...
This article demonstrates an alternative to L-BFGS, the limited memory covari- ance matrix adaptation evolution strategy (LM-CMA) proposed by Loshchilov (2014).
LM-CMA outperforms the original CMA-ES and its large-scale versions on nonseparable ill-conditioned problems with a factor increasing with problem dimension.
LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization · I ... LM-CMA is a stochastic derivative-free algorithm for numerical optimization ...
Aug 13, 2018 · Bibliographic details on LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization.
May 18, 2017 · LM-CMA: An alternative to L-BFGS for large-scale black box optimization. Evolutionary Computation, 25(1):143–171, 2017. [27] Ilya Loshchilov ...
Apr 1, 2019 · LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization ... LM-CMA is a stochastic derivative-free algorithm for numerical ...