A Genetic Programming Ensemble Method for Learning Dynamical System Models
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- @InProceedings{Abdelbari:2017:ICCMS,
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author = "Hassan Abdelbari and Kamran Shafi",
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title = "A Genetic Programming Ensemble Method for Learning
Dynamical System Models",
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booktitle = "Proceedings of the 8th International Conference on
Computer Modeling and Simulation",
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year = "2017",
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pages = "47--51",
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address = "Canberra, Australia",
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, complex
dynamical systems, modelling and simulation, symbolic
regression",
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isbn13 = "978-1-4503-4816-4",
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URL = "http://doi.acm.org/10.1145/3036331.3036336",
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DOI = "doi:10.1145/3036331.3036336",
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acmid = "3036336",
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abstract = "Modelling complex dynamical systems plays a crucial
role to understand several phenomena in different
domains such as physics, engineering, biology and
social sciences. In this paper, a genetic programming
ensemble method is proposed to learn complex dynamical
systems underlying mathematical models, represented as
differential equations, from system time series
observations. The proposed method relies on decomposing
the modelling space based on given variable
dependencies. An ensemble of learners is then applied
in this decomposed space and their output is combined
to generate the final model. Two examples of complex
dynamical systems are used to test the performance of
the proposed methodology where the standard genetic
programming method has struggled to find matching model
equations. The empirical results show the effectiveness
of the proposed methodology in learning closely
matching structure of almost all system equations.",
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notes = "conf/iccms/AbdelbariS17",
- }
Genetic Programming entries for
Hassan Abdelbari
Kamran Shafi
Citations