Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup TimeOA
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
School of Computer,Liaocheng University,Liaocheng 252000,ChinaSchool of Computer,Liaocheng University,Liaocheng 252000,ChinaMacau Institute of Systems Engineering,Macau University of Science and Technology,Macao 999078,China
artificial bee colony algorithmQ-learningflowshop schedulingsequence-dependent setup time
artificial bee colony algorithmQ-learningflowshop schedulingsequence-dependent setup time
《复杂系统建模与仿真（英文）》 2025 (3)
221-235,15
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).
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