Genetic programming hyper-heuristic for solving dynamic production scheduling problem-Reference-Cited by-同舟云学术

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Genetic programming hyper-heuristic for solving dynamic production scheduling problem

Published:2011-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2011 International Conference on Electrical Engineering and Informatics
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Author:

Abednego Luciana,Hendratmo Dwi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6011492/6021499/06021768.pdf?arnumber=6021768

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A cooperative coevolutionary hyper-heuristic approach to solve lot-sizing and job shop scheduling problems using genetic programming;International Journal of Production Research;2024-01-11

2. Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling;Journal of Scheduling;2023-04-29

3. Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming;Expert Systems with Applications;2022-12

4. Automatic Parameter Tuning in Aluminum Extrusion Based on Genetic Programming;2020 6th International Conference on Control, Automation and Robotics (ICCAR);2020-04

5. Genetic programming for production scheduling: a survey with a unified framework;Complex & Intelligent Systems;2017-02-24

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