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Frequent pattern mining driven evolutionary search for cross-dock door assignment
DOI:10.1016/j.cor.2026.107393.png)
摘要
En 中文
• 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.
期刊
C
IF:
4.3
论文数:
268
被引数:
0
机构
引用论文
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A new hybrid genetic algorithm to optimize distribution and operational plans for cross-docking satellites
SOFT COMPUTING
IF2.5

