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International Journal of Production Research Volume 59, 2021 - Issue 13
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Articles

A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

Yingli Lia State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, ChinaView further author information
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Xinyu Lia State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, ChinaView further author information
,
Liang Gaoa State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, ChinaCorrespondence[email protected]
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Biao Zhangc School of Computer Science, Liaocheng University, Liaocheng, ChinaView further author information
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Quan-Ke Panb School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, ChinaView further author information
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M. Fatih Tasgetirena State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, ChinaView further author information
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Leilei Mengc School of Computer Science, Liaocheng University, Liaocheng, ChinaView further author information
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Pages 3880-3899 | Received 10 Aug 2019, Accepted 28 Mar 2020, Published online: 20 May 2020

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Hanghao Cui, Xinyu Li, Liang Gao & Chunjiang Zhang. (2023) Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated-parallel machines considering tardiness. International Journal of Production Research 0:0, pages 1-19.
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Ioannis Avgerinos, Ioannis Mourtos, Stavros Vatikiotis & Georgios Zois. (2023) Scheduling unrelated machines with job splitting, setup resources and sequence dependency. International Journal of Production Research 61:16, pages 5502-5524.
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Jingcao Cai, Deming Lei, Jing Wang & Lei Wang. (2023) A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling. International Journal of Production Research 61:4, pages 1233-1251.
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Peng Cheng Luo, Huan Qian Xiong, Bo Wen Zhang, Jie Yang Peng & Zhao Feng Xiong. (2022) Multi-resource constrained dynamic workshop scheduling based on proximal policy optimisation. International Journal of Production Research 60:19, pages 5937-5955.
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Ankit Khare & Sunil Agrawal. (2021) Effective heuristics and metaheuristics to minimise total tardiness for the distributed permutation flowshop scheduling problem. International Journal of Production Research 59:23, pages 7266-7282.
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Weiwei Wang, Biao Zhang, Xuchu Jiang, Baoxian Jia, Hongyan Sang & Leilei Meng. Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots. International Journal of Production Research 0:0, pages 1-29.
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Zhongshi Shao, Weishi Shao, Jianrui Chen & Dechang Pi. (2024) A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time. Engineering Applications of Artificial Intelligence 131, pages 107818.
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Jingcao Cai & Lei Wang. (2024) A Shuffled Frog Leaping Algorithm with Q-Learning for Distributed Hybrid Flow Shop Scheduling Problem with Energy-Saving. Journal of Artificial Intelligence and Soft Computing Research 14:2, pages 101-120.
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Chuang Wang, Quan-Ke Pan & Xue-Lei Jing. (2024) An effective adaptive iterated greedy algorithm for a cascaded flowshop joint scheduling problem. Expert Systems with Applications 238, pages 121856.
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Feige Liu, Guiling Li, Chao Lu, Lvjiang Yin & Jiajun Zhou. (2024) A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking. Expert Systems with Applications 237, pages 121667.
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Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, Huili Geng, Xiaomeng Wang, Miaolei Deng & Guohui Zhang. (2024) Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey. Frontiers in Industrial Engineering 2.
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Yong Wang, Yuyan Han & Yuting Wang. (2023) A Two-Tiered Destructive Iterated Greedy Approach for Enhancing Efficiency in Multi-Factory Hybrid Flow Shop Scheduling with Blocking Constraint. A Two-Tiered Destructive Iterated Greedy Approach for Enhancing Efficiency in Multi-Factory Hybrid Flow Shop Scheduling with Blocking Constraint.
Yaya Zhang & Xingsheng Gu. (2023) A biogeography-based optimization algorithm with modified migration operator for large-scale distributed scheduling with transportation time. Expert Systems with Applications 231, pages 120732.
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Chengren Jiang, Weiwei Cui & Zhenlei Xiao. (2023) Neural Network-Based Evaluation for the Multi-Objective Optimization in Flow Shops with Random Failures. Neural Network-Based Evaluation for the Multi-Objective Optimization in Flow Shops with Random Failures.
Nesrine Touafek, Fatima Benbouzid-Si Tayeb & Asma Ladj. (2023) A Reinforcing-Learning-Driven Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance under Learning and Deteriorating Effects. Algorithms 16:9, pages 397.
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Hanghao Cui, Xinyu Li & Liang Gao. (2023) An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem. Expert Systems with Applications 222, pages 119805.
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Ya-Dian Geng & Jun-Qing Li. (2023) A knowledge-driven multiobjective algorithm for distributed hybrid flowshop with group and carryover setup in glass manufacturing systems. Computers & Industrial Engineering 181, pages 109325.
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Yooney Cho, Hyeon-Il Kim, Yeo-Reum Kim, Seock-Kyu Yoo, Byoung-Hee Kim & Dong-Ho Lee. (2023) A scheduling mechanism for hybrid flow shops with reworks under general queue time limits. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.
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Deming Lei & Yimin Wang. (2023) A feedback-based artificial bee colony for distributed heterogeneous two-stage hybrid flow shop scheduling with setup times and maintenance. A feedback-based artificial bee colony for distributed heterogeneous two-stage hybrid flow shop scheduling with setup times and maintenance.
Chenyao Zhang, Yuting Wang, Yuhang Wang, Yong Wang, Chengshuai Li & Feng Yang. (2023) Scheduling of distributed blocking flowshop with setup times using a Two-stage perturbation iterated greedy algorithm. Scheduling of distributed blocking flowshop with setup times using a Two-stage perturbation iterated greedy algorithm.
Lei Sun, Weimin Shi, Junru Wang, Huimin Mao, Jiajia Tu & Luojun Wang. (2023) Research on Production Scheduling Technology in Knitting Workshop Based on Improved Genetic Algorithm. Applied Sciences 13:9, pages 5701.
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Kongkidakhon Worasan, Kanchana Sethanan, Rapeepan Pitakaso, Thitipong Jamrus, Karn Moonsri & Paulina Golinska-Dawson. (2023) A hybridization of PSO and VNS to solve the machinery allocation and scheduling problem under a machinery sharing arrangement. Intelligent Systems with Applications 18, pages 200206.
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Biao Zhang, Chao Lu, Lei-lei Meng, Yu-yan Han, Hong-yan Sang & Xu-chu Jiang. (2023) Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm. Expert Systems with Applications 217, pages 119548.
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Massimo Bertolini, Francesco Leali, Davide Mezzogori & Cristina Renzi. (2023) A Keyword, Taxonomy and Cartographic Research Review of Sustainability Concepts for Production Scheduling in Manufacturing Systems. Sustainability 15:8, pages 6884.
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Youshan Liu, Weiming Shen, Chunjiang Zhang & Xueyan Sun. (2023) Agent-based simulation and optimization of hybrid flow shop considering multi-skilled workers and fatigue factors. Robotics and Computer-Integrated Manufacturing 80, pages 102478.
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Jidong Zhang & Jingcao Cai. (2023) A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem. Symmetry 15:4, pages 836.
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Deming Lei & Tao Dai. (2023) A Shuffled Frog-Leaping Algorithm with Cooperations for Distributed Assembly Hybrid-Flow Shop Scheduling with Factory Eligibility. Symmetry 15:4, pages 786.
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Hadi Gholami & Hongyang Sun. (2023) Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks. Knowledge-Based Systems 264, pages 110309.
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Deming Lei & Bin Su. (2023) A multi-class teaching–learning-based optimization for multi-objective distributed hybrid flow shop scheduling. Knowledge-Based Systems 263, pages 110252.
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Weishi Shao, Zhongshi Shao & Dechang Pi. (2023) Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem. Expert Systems with Applications 214, pages 119151.
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Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying & Nguyen Hoai Nam. (2022) Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups. Annals of Operations Research 322:1, pages 125-146.
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Zhongshi Shao, Weishi Shao & Dechang Pi. (2023) LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling. IEEE Transactions on Emerging Topics in Computational Intelligence 7:1, pages 111-127.
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Chenyao Zhang, Yuyan Han, Yuting Wang, Junqing Li & Kaizhou Gao. (2023) A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm. Mathematics 11:3, pages 581.
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Mahdi Jemmali & Lotfi Hidri. (2023) Hybrid Flow Shop with Setup Times Scheduling Problem. Computer Systems Science and Engineering 44:1, pages 563-577.
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Dana Marsetiya Utama & Meri Dines Primayesti. (2022) A novel hybrid Aquila optimizer for energy-efficient hybrid flow shop scheduling. Results in Control and Optimization 9, pages 100177.
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Zhiqiang Ma, Weibo Zheng, Zhengwen He, Nengmin Wang & Xuejun Hu. (2022) A genetic algorithm for proactive project scheduling with resource transfer times. Computers & Industrial Engineering 174, pages 108754.
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Weishi Shao, Zhongshi Shao & Dechang Pi. (2022) A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem. Neural Computing and Applications 34:24, pages 22303-22330.
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Kaifeng Geng, Li Liu & Zhanyong Wu. (2022) Energy-efficient distributed heterogeneous re-entrant hybrid flow shop scheduling problem with sequence dependent setup times considering factory eligibility constraints. Scientific Reports 12:1.
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Jiansha Lu, Lili Xu, Jinghao Jin & Yiping Shao. (2022) A Mixed Algorithm for Integrated Scheduling Optimization in AS/RS and Hybrid Flowshop. Energies 15:20, pages 7558.
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Weishi Shao, Zhongshi Shao & Dechang Pi. (2022) An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs. IEEE Transactions on Automation Science and Engineering 19:4, pages 3379-3394.
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Tangbin Xia, Yutong Ding, Yifan Dong, Zhen Chen, Meimei Zheng, Ershun Pan & Lifeng Xi. (2022) Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data. Journal of Manufacturing Systems 65, pages 640-652.
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Chao Lu, Qiao Liu, Biao Zhang & Lvjiang Yin. (2022) A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop. Expert Systems with Applications 204, pages 117555.
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Shengluo Yang, Junyi Wang & Zhigang Xu. (2022) Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning. Advanced Engineering Informatics 54, pages 101776.
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Jingcao Cai, Shejie Lu, Jun Cheng, Lei Wang, Yin Gao & Tielong Tan. (2022) Collaborative variable neighborhood search for multi-objective distributed scheduling in two-stage hybrid flow shop with sequence-dependent setup times. Scientific Reports 12:1.
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Jun-Qing Li, Xiao-Long Chen, Pei-Yong Duan & Jian-Hui Mou. (2022) KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System. IEEE Transactions on Industrial Informatics 18:8, pages 5318-5329.
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Xin-Rui Tao, Quan-Ke Pan & Liang Gao. (2022) An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem. Computers & Industrial Engineering 169, pages 108200.
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Huan Liu, Fuqing Zhao, Ling Wang, Jie Cao, Jianxin Tang & Jonrinaldi. (2022) An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time. Applied Intelligence.
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Leilei Meng, Kaizhou Gao, Yaping Ren, Biao Zhang, Hongyan Sang & Zhang Chaoyong. (2022) Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times. Swarm and Evolutionary Computation 71, pages 101058.
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Xinfu Pang, Xu Zhang, Wei Liu, Haibo Li & Yibao Wang. (2022) Optimal Scheduling of Cogeneration System with Heat Storage Device Based on Artificial Bee Colony Algorithm. Electronics 11:11, pages 1725.
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Zhongyu Zhang, Zhenjie Zhu, Jinsheng Zhang & Jingkun Wang. (2021) Construction of intelligent integrated model framework for the workshop manufacturing system via digital twin. The International Journal of Advanced Manufacturing Technology 118:9-10, pages 3119-3132.
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Nesrine Touafek, Asma Ladj, Fatima Benbouzid-Si Tayeb, Alaeddine Dahamni & Riyadh Baghdadi. (2022) Permutation Flowshop Scheduling Problem Considering Learning, Deteriorating Effects and Flexible Maintenance. Procedia Computer Science 207, pages 2518-2525.
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Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Alaeddine Dahamni & Riyadh Baghdadi. 2022. Computational Collective Intelligence. Computational Collective Intelligence 647 659 .
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Junqing Li, Jiake Li, Lijing Zhang, Hongyan Sang, Yuyan Han & Qingda Chen. (2021) Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm. International Journal of Fuzzy Systems 23:4, pages 1194-1212.
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Xiyao Zhang, Xueyan Sun, Youshan Liu, Chunjiang Zhang, Linlin Zhao & Weiming Shen. (2021) An Agent-Based Approach for Dynamic Scheduling in Hybrid Flow Shops. An Agent-Based Approach for Dynamic Scheduling in Hybrid Flow Shops.
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Tao Meng & Quan-Ke Pan. (2021) A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time. Swarm and Evolutionary Computation 60, pages 100804.
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Lei Wang & Dongdong Li. (2020) Fuzzy Distributed Hybrid Flow Shop Scheduling Problem With Heterogeneous Factory and Unrelated Parallel Machine: A Shuffled Frog Leaping Algorithm With Collaboration of Multiple Search Strategies. IEEE Access 8, pages 214209-214223.
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