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Original Articles

A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling

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Pages 3622-3639 | Received 27 Jan 2015, Accepted 05 Nov 2015, Published online: 14 Dec 2015

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Xiang Yi Zhang & Lu Chen. (2018) A re-entrant hybrid flow shop scheduling problem with machine eligibility constraints. International Journal of Production Research 56:16, pages 5293-5305.
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Peng Zhang, Youlong Lv & Jie Zhang. (2018) An improved imperialist competitive algorithm based photolithography machines scheduling. International Journal of Production Research 56:3, pages 1017-1029.
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Jie Zhang & Xiaoxi Wang. (2016) Multi-agent-based hierarchical collaborative scheduling in re-entrant manufacturing systems. International Journal of Production Research 54:23, pages 7043-7059.
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Shaban Usman & Cong Lu. (2024) Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm. Computers & Operations Research 162, pages 106456.
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Xiuli Wu & Zirun Xie. (2023) Improved MOEA/D with local search for solving multi-stage distributed reentrant hybrid flow shop scheduling problem. Expert Systems with Applications 232, pages 120893.
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Shaban Usman, Cong Lu & Guanyang Gao. (2023) Flexible job-shop scheduling with limited flexible workers using an improved multiobjective discrete teaching–learning based optimization algorithm. Optimization and Engineering.
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Janis S. Neufeld, Sven Schulz & Udo Buscher. (2023) A systematic review of multi-objective hybrid flow shop scheduling. European Journal of Operational Research 309:1, pages 1-23.
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Weihua Tan, Xiaofang Yuan, Jinlei Wang, Haozhi Xu & Lianghong Wu. (2023) Multi-objective teaching–learning-based optimization algorithm for carbon-efficient integrated scheduling of distributed production and distribution considering shared transportation resource. Journal of Cleaner Production 406, pages 137061.
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Maedeh Fasihi, Reza Tavakkoli-Moghaddam & Fariborz Jolai. (2023) A bi-objective re-entrant permutation flow shop scheduling problem: minimizing the makespan and maximum tardiness. Operational Research 23:2.
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Xixing Li, Xing Guo, Hongtao Tang, Rui Wu & Jiayi Liu. (2023) An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing. Computers & Industrial Engineering 176, pages 108921.
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Kaifeng Geng & Chunming Ye. (2021) A memetic algorithm for energy-efficient distributed re-entrant hybrid flow shop scheduling problem. Journal of Intelligent & Fuzzy Systems 41:2, pages 3951-3971.
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Yaping Fu, Hongfeng Wang, Junwei Wang & Xujin Pu. (2021) Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. IEEE Systems Journal 15:3, pages 4696-4707.
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Yaping Fu, MengChu Zhou, Xiwang Guo & Liang Qi. (2020) Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm. IEEE Transactions on Systems, Man, and Cybernetics: Systems 50:12, pages 5037-5048.
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Yaya Zhang & Xingsheng Gu. (2020) Biogeography-based optimization algorithm for large-scale multistage batch plant scheduling. Expert Systems with Applications 162, pages 113776.
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Kaifeng Geng, Chunming Ye, Zhen hua Dai & Li Liu. (2020) Bi-Objective Re-Entrant Hybrid Flow Shop Scheduling considering Energy Consumption Cost under Time-of-Use Electricity Tariffs. Complexity 2020, pages 1-17.
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Haijuan Cui, Xiaochuan Luo & Yuan Wang. (2020) Scheduling of steelmaking-continuous casting process using deflected surrogate Lagrangian relaxation approach and DC algorithm. Computers & Industrial Engineering 140, pages 106271.
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Wenjuan Fan, Yi Wang, Tongzhu Liu & Guixian Tong. (2019) A patient flow scheduling problem in ophthalmology clinic solved by the hybrid EDA–VNS algorithm. Journal of Combinatorial Optimization 39:2, pages 547-580.
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Jun Dong & Chunming Ye. (2020) Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer. Mathematical Problems in Engineering 2020, pages 1-22.
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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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Chun-Cheng Lin, Wan-Yu Liu & Yu-Hsiang Chen. (2020) Considering stockers in reentrant hybrid flow shop scheduling with limited buffer capacity. Computers & Industrial Engineering 139, pages 106154.
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Rong-juan Luo, Shou-feng Ji & Bao-lin Zhu. (2019) A Pareto evolutionary algorithm based on incremental learning for a kind of multi-objective multidimensional knapsack problem. Computers & Industrial Engineering 135, pages 537-559.
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Kaifeng Geng, Chunming Ye, Lei Cao & Li Liu. (2019) Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm. Mathematical Problems in Engineering 2019, pages 1-18.
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Z.C. Li, B. Qian, R. Hu, L.L. Chang & J.B. Yang. (2019) An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups. Knowledge-Based Systems 173, pages 83-112.
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Raviteja Buddala & Siba Sankar Mahapatra. (2018) An integrated approach for scheduling flexible job-shop using teaching–learning-based optimization method. Journal of Industrial Engineering International 15:1, pages 181-192.
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Raviteja Buddala & Siba Sankar Mahapatra. (2018) Two-stage teaching-learning-based optimization method for flexible job-shop scheduling under machine breakdown. The International Journal of Advanced Manufacturing Technology 100:5-8, pages 1419-1432.
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Nikolaos E. Karkalos, Angelos P. Markopoulos & J. Paulo DavimNikolaos E. Karkalos, Angelos P. Markopoulos & J. Paulo Davim. 2019. Computational Methods for Application in Industry 4.0. Computational Methods for Application in Industry 4.0 11 31 .
Kai Wang, Hao Luo, Feng Liu & Xiaohang Yue. (2018) Permutation Flow Shop Scheduling With Batch Delivery to Multiple Customers in Supply Chains. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48:10, pages 1826-1837.
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Yong Cheng & Deming Lei. (2018) An Improved Imperialist Competitive Algorithm for Reentrant Flow Shop Scheduling. An Improved Imperialist Competitive Algorithm for Reentrant Flow Shop Scheduling.
Weishi Shao, Dechang Pi & Zhongshi Shao. (2018) A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion. Computers & Operations Research 94, pages 89-105.
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Deming Lei, Liang Gao & Youlian Zheng. (2018) A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop. IEEE Transactions on Engineering Management 65:2, pages 330-340.
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Pei‐yong Duan, Jun‐qing Li, Yong Wang, Hong‐yan Sang & Bao‐xian Jia. (2017) Solving chiller loading optimization problems using an improved teaching‐learning‐based optimization algorithm. Optimal Control Applications and Methods 39:1, pages 65-77.
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Jingnan Shen, Ling Wang & Jingjing Wang. (2017) A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints. A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints.
Hang-Min Cho & In-Jae Jeong. (2017) A two-level method of production planning and scheduling for bi-objective reentrant hybrid flow shops. Computers & Industrial Engineering 106, pages 174-181.
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Xixing Li, Xing Guo, Hongtao Tang, Rui Wu & Jiayi Liu. (2022) Improved Cuckoo Algorithm for the Hybrid Flow-Shop Scheduling Problem in Sand Casting Enterprises Considering Batch Processing. SSRN Electronic Journal.
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