Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization
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- @InProceedings{Ganesan:2013:Nostradamus,
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author = "T. Ganesan and I. Elamvazuthi and
Ku Zilati Ku Shaari and P. Vasant",
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title = "Hypervolume-Driven Analytical Programming for
Solar-Powered Irrigation System Optimization",
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booktitle = "Nostradamus 2013: Prediction, Modeling and Analysis of
Complex Systems",
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year = "2013",
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editor = "Ivan Zelinka and Guanrong Chen and
Otto E. R{\"o}ssler and Vaclav Snasel and Ajith Abraham",
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volume = "210",
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series = "Advances in Intelligent Systems and Computing",
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pages = "147--154",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Analytical
Programming",
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isbn13 = "978-3-319-00542-3",
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DOI = "doi:10.1007/978-3-319-00542-3_15",
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abstract = "In the field of alternative energy and sustainability,
optimization type problems are regularly encountered.
In this paper, the Hypervolume-driven Analytical
Programming (Hyp-AP) approaches were developed. This
method was then applied to the multi-objective (MO)
design optimization of a real-world photovoltaic
(PV)-based solar powered irrigation system. This
problem was multivariate, nonlinear and multiobjective.
The Hyp-AP method was used to construct the approximate
Pareto frontier as well as to identify the best
solution option. Some comparative analysis was
performed on the proposed method and the approach used
in previous work.",
- }
Genetic Programming entries for
Timothy Ganesan
I Elamvazuthi
Ku Zilati Ku Shaari
Pandian Vasant
Citations