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Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm

Benxue Lu Kaizhou Gao Peiyong Duan Adam Slowik

复杂系统建模与仿真（英文）2025，Vol.5Issue(1)：46-67,22.

复杂系统建模与仿真（英文）2025，Vol.5Issue(1)：46-67,22.DOI:10.23919/CSMS.2024.0022

Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm

Benxue Lu ¹Kaizhou Gao ¹Peiyong Duan ²Adam Slowik³

作者信息

1. School of Computer Science,Liaocheng University,Liaocheng 252000,China
2. Macau Institute of Systems Engineering,Macau University of Science and Technology,Macau 999078,China
3. School of Information and Automation Engineering,Qilu University of Technology,Jinan 250353,China
折叠

摘要

关键词

hybrid flow shop scheduling/Q-learning/lot streaming/local search

Key words

hybrid flow shop scheduling/Q-learning/lot streaming/local search

引用本文复制引用

Benxue Lu,Kaizhou Gao,Peiyong Duan,Adam Slowik..Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm[J].复杂系统建模与仿真（英文）,2025,5(1):46-67,22.

基金项目

This work was partially supported by the National Natural Science Foundation of China(No.62173356),Science and Technology Development Fund(FDCT),Macau SAR(No.0019/2021/A),Zhuhai Industry-University-Research Project with Hongkong and Macao(No.ZH22017002210014PWC),Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011531),and Key Technologies for Scheduling and Optimization of Complex Distributed Manufacturing Systems(No.22JR10KA007). （No.62173356）

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