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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

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

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

Dynamic set-up rules for hybrid flow shop scheduling with parallel batching machines

Rossi, Andrea; Pandolfi, Andrea; Lanzetta, Michele - In: International journal of production research 52 (2014) 13, pp. 3842-3857

Persistent link: https://www.econbiz.de/10010382874

A GRASP meta-heuristic for the hybrid flowshop scheduling problem

González-Neira, Eliana M.; Montoya-Torres, Jairo R. - In: Journal of decision systems 26 (2017) 3, pp. 294-306

Persistent link: https://www.econbiz.de/10011853464

A learning-based two-stage optimization method for customer order scheduling

Shi, Zhongshun; Ma, Hang; Ren, Meiheng; Wu, Tao; Yu, … - In: Computers & operations research : and their … 136 (2021), pp. 1-18

Persistent link: https://www.econbiz.de/10012629598

Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry

Sadeghi, Parisa; Diogo Rebelo, Rui; Soeiro Ferreira, José - In: Operations research perspectives 8 (2021), pp. 1-19

This paper addresses a new Mixed-model Assembly Line Sequencing Problem in the Footwear industry. This problem emerges in a large company, which benefits from advanced automated stitching systems. However, these systems need to be managed and optimised. Operators with varied abilities operate...

Persistent link: https://www.econbiz.de/10012596628

Multiple dispatching rules allocation in real time using data mining, genetic algorithms, and simulation

Zahmani, Mohamed Habib; Atmani, Baghdad - In: Journal of scheduling : JOS 24 (2021) 2, pp. 175-196

Persistent link: https://www.econbiz.de/10012496858

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

A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling

Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; … - In: International journal of production research 60 (2022) 13, pp. 4025-4048

Persistent link: https://www.econbiz.de/10013499329