An adaptive Genetic Algorithm for the Flexible Job-shop Scheduling Problem-Reference-Cited by-同舟云学术

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An adaptive Genetic Algorithm for the Flexible Job-shop Scheduling Problem

Published:2011-06 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE International Conference on Computer Science and Automation Engineering
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Author:

Pan Y.,Zhang W.X.,Gao T.Y.,Ma Q.Y.,Xue D.J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5938215/5952789/05952878.pdf?arnumber=5952878

Cited by 6 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 new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem;2023 IEEE Congress on Evolutionary Computation (CEC);2023-07-01

2. Solving FJSP Using Multi-agent System with GA;Advances in Data-driven Computing and Intelligent Systems;2023

3. Improved Genetic Algorithm Integrated with Scheduling Rules for Flexible Job Shop Scheduling Problems;E3S Web of Conferences;2021

4. Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems;Mathematical Problems in Engineering;2018

5. Pollux: a dynamic hybrid control architecture for flexible job shop systems;International Journal of Production Research;2016-08-09

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