Modeling a complex system using multiobjective genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Yan:2008:ICIEA,
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author = "Bai Yan and Jiang Yiheng and Zhu Yaochun and
Xiaofei Li and Fan Li",
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title = "Modeling a complex system using multiobjective genetic
programming",
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booktitle = "3rd IEEE Conference on Industrial Electronics and
Applications, ICIEA 2008",
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year = "2008",
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month = "3-5 " # jun,
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pages = "781--784",
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abstract = "Genetic Programming is a kind of searching technique,
which is intelligent, and it works by emulating natural
evolution. The intelligent modelling technique based on
genetic programming can recognise the relationship
between the inputs and outputs of a complex system, and
it has ascendeny of searching out the frame and the
parameters of the system at the same time and the
searching results are explicit. A novel multiobjective
genetic programming, which searching aim is to minimise
the sum of squares of deviations, the complexity and
the maximal dynamic deviation, is put forward to model
a coordinate system of power plant, and the results
from simulation show that it is valid.",
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keywords = "genetic algorithms, genetic programming, intelligent
modelling technique, maximal dynamic deviation,
multiobjective genetic programming, power plant
coordinated system, power engineering computing, power
plants",
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DOI = "doi:10.1109/ICIEA.2008.4582621",
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notes = "Coal Main steam. Dept. of Autom., North China Electr.
Power Univ., Beijing. Also known as \cite{4582621}",
- }
Genetic Programming entries for
Bai Yan
Jiang Yiheng
Zhu Yaochun
Xiaofei Li
Fan Li
Citations