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The document discusses truncation selection and Gaussian Estimation of Distribution Algorithms (EDA), focusing on issues such as premature convergence and methods to enlarge variance in both one-dimensional and multi-dimensional contexts. It presents an introduction to EDA and analyzes the effects of these factors on fitness landscapes. The findings aim to provide insights for sustainable progress in the application of these algorithms.