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Enhancing optimization algorithms with Kernel Density Estimation: A statistical learning strategy for smarter metaheuristics
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DOI：10.1016/j.cor.2026.107539.png)
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Abstract
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Metaheuristic algorithms are commonly used for efficiently solving intractable optimization problems, given their ability to provide solutions while requiring relatively low computational efforts.
Keywords:
Smart metaheuristics
Statistical learning
Combinatorial optimization
Kernel Density Estimation
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