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Frequent pattern mining driven evolutionary search for cross-dock door assignment
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DOI：10.1016/j.cor.2026.107393.png)
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Abstract
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• Frequent pattern mining driven evolutionary search for cross-dock door assignment. • Employ a data mining technique to extract frequent patterns for guiding the search. • Design a two-phase local exploration and focusing search for solution improvement. • Find improved best-known solutions for 26 instances for the capacitated case. • Find improved best-known solutions for 25 instances for the uncapacitated case.
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