Artificial Intelligence #estimation-of-distribution#algorithms
Zero-Inflated Gaussian EDAs Enable Parameter-Space Sparsity Without Hand-Crafted Operators
Researchers propose multivariate zero-inflated Gaussian distributions as sampling laws for estimation-of-distribution algorithms (EDAs), enabling parameter-space sparsity without hand-crafted operators. The ZIG-EDA jointly optimizes sparsity patterns and active values, and on the Lunar Lander benchmark it converges faster and achieves higher returns than dense and sparse alternatives.
Jun 20, 2026 1 source