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Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time

Fubin Liu Kaizhou Gao Adam Słowik

复杂系统建模与仿真（英文）2025，Vol.5Issue(3)：221-235,15.

复杂系统建模与仿真（英文）2025，Vol.5Issue(3)：221-235,15.DOI:10.23919/CSMS.2024.0040

Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time

Fubin Liu ¹Kaizhou Gao ¹Adam Słowik²

作者信息

1. School of Computer,Liaocheng University,Liaocheng 252000,China
2. Macau Institute of Systems Engineering,Macau University of Science and Technology,Macao 999078,China
折叠

摘要

关键词

artificial bee colony algorithm/Q-learning/flowshop scheduling/sequence-dependent setup time

Key words

artificial bee colony algorithm/Q-learning/flowshop scheduling/sequence-dependent setup time

引用本文复制引用

Fubin Liu,Kaizhou Gao,Adam Słowik..Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time[J].复杂系统建模与仿真（英文）,2025,5(3):221-235,15.

基金项目

This work was partially supported by the Science and Technology Development Fund(FDCT),Macau SAR(No.0019/2021/A),National Natural Science Foundation of China(No.62173356),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). （FDCT）

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