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Genetic learning of dynamic scheduling within a simulation environment

Published:1994-10 Issue:8 Volume:21 Page:909-925
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Aytug Haldun,Koehler Gary J.,Snowdon Jane L.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference46 articles.

1. Genetic Algorithms;Goldberg,1989

2. A review of production scheduling;Graves;Operations Research,1981

3. Research and analysis of machine learning for dynamic scheduling;Koehler,1991

4. A stochastic approach to hierarchical planning and scheduling;Dempster,1982

5. Expert systems for planning and scheduling manufacturing systems;Kusiak;European Journal of Operations Research,1988

Cited by 23 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. Reactive scheduling in a job shop where jobs arrive over time;Computers & Industrial Engineering;2013-10

2. Controlling a Re-entrant Manufacturing Line via the Push–Pull Point;Decision Policies for Production Networks;2012

3. Evolving scheduling rules with gene expression programming for dynamic single-machine scheduling problems;The International Journal of Advanced Manufacturing Technology;2010-02-04

4. A Review on the Application of Hybrid Artificial Intelligence Systems to Optimization Problems in Operations Management;Lecture Notes in Computer Science;2009

5. Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment;Applied Soft Computing;2008-09

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