Automatic Design of Dispatching Rules for Real-time optimization of Complex Production Systems*
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Shi:2019:SII,
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author = "Zhongshun Shi and Siyang Gao and Jianzhong Du and
Hang Ma and Leyuan Shi",
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booktitle = "2019 IEEE/SICE International Symposium on System
Integration (SII)",
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title = "Automatic Design of Dispatching Rules for Real-time
optimization of Complex Production Systems*",
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year = "2019",
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pages = "55--60",
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abstract = "Dispatching rules have proven to be very useful in
practice for real-time optimization of production
systems. Due to the complex and dynamic nature of
manufacturing environment, there are no universal rules
that are superior in all situations. The task of
manually designing dispatching rules is not trivial and
time consuming. Recently, genetic programming becomes a
popular method to facilitate the design task by
automatically generating dispatching rules. This paper
develops an efficient hybrid method, which achieves an
automatic design of dispatching rules for real-time
optimization of complex production systems. We first
formulate the evaluation problem as a ranking and
selection problem, and then propose a new evaluation
method for genetic programming by simulation
optimization. The proposed method can be applied for
evaluation of candidate heuristics to enhance the
search efficiency of genetic programming. Numerical
results show the efficiency and effectiveness of the
proposed method.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SII.2019.8700391",
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ISSN = "2474-2325",
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month = jan,
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notes = "Also known as \cite{8700391}",
- }
Genetic Programming entries for
Tony Zhongshun Shi
Siyang Gao
Jianzhong Du
Hang Ma
Leyuan Shi
Citations