A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED
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- @Article{chen:2021:Mathematics,
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author = "Xiaowu Chen and Guozhang Jiang and Yongmao Xiao and
Gongfa Li and Feng Xiang",
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title = "A Hyper Heuristic Algorithm Based Genetic Programming
for Steel Production Scheduling of {Cyber-Physical}
{System-ORIENTED}",
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journal = "Mathematics",
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year = "2021",
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volume = "9",
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number = "18",
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keywords = "genetic algorithms, genetic programming, teel
production scheduling, cyber-physical system,
hyper-heuristic algorithm, heuristic scheduling rule",
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ISSN = "2227-7390",
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URL = "https://www.mdpi.com/2227-7390/9/18/2256",
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DOI = "doi:10.3390/math9182256",
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abstract = "Intelligent manufacturing is the trend of the steel
industry. A cyber-physical system oriented steel
production scheduling system framework is proposed. To
make up for the difficulty of dynamic scheduling of
steel production in a complex environment and provide
an idea for developing steel production to intelligent
manufacturing. The dynamic steel production scheduling
model characteristics are studied, and an
ontology-based steel cyber-physical system production
scheduling knowledge model and its ontology attribute
knowledge representation method are proposed. For the
dynamic scheduling, the heuristic scheduling rules were
established. With the method, a hyper-heuristic
algorithm based on genetic programming is presented.
The learning-based high-level selection strategy method
was adopted to manage the low-level heuristic. An
automatic scheduling rule generation framework based on
genetic programming is designed to manage and generate
excellent heuristic rules and solve scheduling problems
based on different production disturbances. Finally,
the performance of the algorithm is verified by a
simulation case.",
-
notes = "also known as \cite{math9182256}",
- }
Genetic Programming entries for
Xiaowu Chen
Guozhang Jiang
Yongmao Xiao
Gongfa Li
Feng Xiang
Citations