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Most existing multiobjective evolutionary algorithms experience difficulties in solving many-objective optimization problems due to their incapability to balance convergence and diversity in the ...

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When people know they are being assessed by AI rather than humans, they tend to present themselves as more analytical and ...

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Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

Kriging models, also known as Gaussian process models, are widely used in surrogate-assisted evolutionary algorithms (SAEAs). However, the cubic time complexity of the standard Kriging models limits ...

Additionally, TACIT works across multiple spatial biology applications, allowing Liu and Byrd to build upon the existing datasets to further enhance the algorithm's work.