Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.
Abstract: Missing or incomplete data poses a significant challenge during data collection for forecasting, estimation, and decision-making purposes. Given the profound impact of data quality on the ...