A preference-based non-dominated sorting genetic programming for bioprocess modeling
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Wu:2014:WCICA,
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author = "Yanling Wu and Zhongliang Zhu and Yuanyuan Zhang2",
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booktitle = "11th World Congress on Intelligent Control and
Automation (WCICA 2014)",
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title = "A preference-based non-dominated sorting genetic
programming for bioprocess modeling",
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year = "2014",
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month = jun,
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pages = "6085--6089",
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abstract = "Non-dominated sorting genetic programming is used to
make the evaluating of several objectives impersonally.
These objectives are the complexity, the oscillation
and the training errors of a model. The preference of a
decision-maker is integrated into non-dominated sorting
GP and then a preference-based non-dominated sorting
genetic programming is proposed. In order to improving
the searching efficiency, decision-maker's preference
is used to guide the searching direction. Last, several
models are selected from the Pareto front based on
their performance on each objective and an integrated
model is obtained. The approach is used to model the
biomass concentration and its effectiveness are
demonstrated.",
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keywords = "genetic algorithms, genetic programming, Biological
system modelling, Educational institutions,
Evolutionary computation, Optimisation, Programming,
Sorting, non-dominated sorting, preference",
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DOI = "doi:10.1109/WCICA.2014.7053762",
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notes = "Also known as \cite{7053762}",
- }
Genetic Programming entries for
Yanling Wu
Zhongliang Zhu
Yuanyuan Zhang2
Citations