Intelligent optimization with learning for scheduling and logistics systems

被引：0

作者：

Gen, Mitsuo ^{[1
,2
]}

Wang, Ling

Suer, Gursel ^{[3
]}

Kacem, Imed ^{[4
]}

Cheng, Shi ^{[5
]}

机构：

[1] Fuzzy Logic Syst Inst, Fukuoka, Japan

[2] Tokyo Univ Sci, Tokyo, Japan

[3] Ohio Univ, Athens, AL USA

[4] Univ Lorraine, LCOMS, Nancy, France

[5] Shaanxi Normal Univ, Sch Comp Sci, Xian, Peoples R China

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2024年 / 196卷

关键词：

D O I：

10.1016/j.cie.2024.110435

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

引用

页数：2

共 7 条

[1]

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[7] Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW [J].

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