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International Journal of Production Research Volume 40, 2002 - Issue 1
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Original Articles

Co-evolutionary genetic algorithm for multi-machine scheduling: Coping with high performance variability

Dong Hyun Baek
&
Wan Chul Yoon
Pages 239-254 | Published online: 14 Nov 2010

Citations (14)

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Read on this site (4)

Namyong Kim, Stephane Barde, Kiwook Bae & Hayong Shin. (2023) Learning per-machine linear dispatching rule for heterogeneous multi-machines control. International Journal of Production Research 61:1, pages 162-182.
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Ronghua Meng, Yunqing Rao, Yun Zheng & Dezhong Qi. (2018) Modelling and solving algorithm for two-stage scheduling of construction component manufacturing with machining and welding process. International Journal of Production Research 56:19, pages 6378-6390.
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Lin Lin & Mitsuo Gen. (2018) Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications. International Journal of Production Research 56:1-2, pages 193-223.
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V. S. Millas & G.-C. Vosniakos. (2008) Transfer batch scheduling using genetic algorithms. International Journal of Production Research 46:4, pages 993-1016.
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Articles from other publishers (10)

BOUAZZA Wassim. (2023) Hyper-heuristics applications to manufacturing scheduling: overview and opportunities. IFAC-PapersOnLine 56:2, pages 935-940.
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Yingxin Liu, Xinggang Luo, Shengping Cheng, Yang Yu & Jiafu Tang. (2021) Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed. Discrete Dynamics in Nature and Society 2021, pages 1-20.
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Jiping Yao, Yongtai Ren, Shuai Wei & Wei Pei. (2018) Assessing the complex adaptability of regional water security systems based on a unified co-evolutionary model. Journal of Hydroinformatics 20:1, pages 34-48.
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Su Nguyen. (2017) Optimization, dispatching rules and hyper-heuristics: A comparison in dynamic single machine scheduling. Optimization, dispatching rules and hyper-heuristics: A comparison in dynamic single machine scheduling.
Jurgen Branke, Su Nguyen, Christoph W. Pickardt & Mengjie Zhang. (2016) Automated Design of Production Scheduling Heuristics: A Review. IEEE Transactions on Evolutionary Computation 20:1, pages 110-124.
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Zhaoxia GuoZhaoxia Guo. 2016. Intelligent Decision-making Models for Production and Retail Operations. Intelligent Decision-making Models for Production and Retail Operations 37 62 .
Christoph W. Pickardt, Torsten Hildebrandt, Jürgen Branke, Jens Heger & Bernd Scholz-Reiter. (2013) Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems. International Journal of Production Economics 145:1, pages 67-77.
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Z.X. Guo, W.K. Wong, S.Y.S. Leung, J.T. Fan & S.F. Chan. 2013. Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI). Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) 55 80 .
Min Liu, Zhi-jiang Sun, Jun-wei Yan & Jing-song Kang. (2011) An adaptive annealing genetic algorithm for the job-shop planning and scheduling problem. Expert Systems with Applications 38:8, pages 9248-9255.
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Z.X. Guo, W.K. Wong, S.Y.S. Leung, J.T. Fan & S.F. Chan. (2008) Genetic optimization of order scheduling with multiple uncertainties. Expert Systems with Applications 35:4, pages 1788-1801.
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