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Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming
Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; … - In: International journal of production research 61 (2023) 15, pp. 5029-5052
Persistent link: https://www.econbiz.de/10014381859
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Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems
Pickardt, Christoph W.; Hildebrandt, Torsten; Branke, … - In: International journal of production economics 145 (2013) 1, pp. 67-77
Persistent link: https://www.econbiz.de/10009785324
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Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
Fan, Huali; Xiong, Hegen; Goh, Mark - In: Computers & operations research : and their … 134 (2021), pp. 1-15
Persistent link: https://www.econbiz.de/10012649579
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Developing a genetic-based multi-objective algorithm to optimise job shop scheduling problems
Hussein, Mohammed; Abd_Elrahman, Elgendy - In: International journal of collaborative enterprise : IJCEnt 6 (2018) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10012251101
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Applying genetic algorithm to optimise personal worklist management in workflow systems
Genquan, Ren; Rui, Han; Liu, Yingbo; Jiong, Zhao; Tao, Jin - In: International journal of production research 51 (2013) 17, pp. 5158-5179
Persistent link: https://www.econbiz.de/10010194489
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A learning-based two-stage optimization method for customer order scheduling
Shi, Zhongshun; Ma, Hang; Ren, Meiheng; Wu, Tao; Yu, Junfang - In: Computers & operations research : and their … 136 (2021), pp. 1-18
Persistent link: https://www.econbiz.de/10012629598
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A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems
Braune, Roland; Benda, Frank; Doerner, Karl Franz; … - In: International journal of production economics 243 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10013197618
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Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling
Zeiträg, Yannik; Figueira, José Rui - In: Journal of scheduling : JOS 26 (2023) 3, pp. 289-314
Persistent link: https://www.econbiz.de/10014326159
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A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling
Zaki, Tomás; Zeiträg, Yannik; Neves, Rui; Figueira, … - In: Computers & operations research : an international journal 172 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10015066814
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A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem
Chen, HaoJie; Li, Xinyu; Gao, Liang - In: International journal of production research 62 (2024) 16, pp. 5631-5653
Persistent link: https://www.econbiz.de/10015053716