#estimation-of-distribution-algorithms News & Analysis

Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms

Researchers introduce zero-inflated Gaussian (ZIG) distributions for estimation-of-distribution algorithms (EDAs) to optimize sparse parameter spaces where most solution coefficients are zero. This approach eliminates the need for hand-crafted sparsity operators and outperforms existing sparse optimization methods on benchmarks.