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Frequent pattern mining driven evolutionary search for cross-dock door assignment

delete2026-01-14
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PRE
AI
Y
Yongliang Lu
J
Jin‐Kao Hao
吴庆华 封面图
吴庆华 (Qinghua Wu)
M
Mingjie Li *
DOI:10.1016/j.cor.2026.107393delete
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摘要

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
COMPUTERS & OPERATIONS RESEARCH
IF:
4.3
论文数:
268
被引数:
0

机构

U
universite d'angers
学者数:
294
论文数: 125
被引数: 0
Z
Zhongnan University of Economics and Law
学者数:
872
论文数: 597
被引数: 3.3K
H
huazhong university of science and technology
学者数:
2.7W
论文数: 8.1K
被引数: 5
F
fuzhou university
学者数:
3.3W
论文数: 2.1W
被引数: 31
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